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1

Hermida, Víctor Alberto, Juan Carlos Corrales, Oscar Caicedo, Luis Suarez, and Luis Rojas. "Service discovery platform for ubiquitous environments." Revista Facultad de Ingeniería Universidad de Antioquia, no. 58 (February 27, 2013): 227–37. http://dx.doi.org/10.17533/udea.redin.14618.

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The capability to easily fi nd useful services in ubiquitous environments becomes increasingly critical in several application domains. Current approaches for ubiquitous services retrieval are mostly limited to the matching of their inputs/outputs possibly enhanced with some ontological knowledge. Recent research has demonstrated that this approach is not suffi cient to discover relevant services. Motivated by these concerns, this work proposes a service discovery platform in ubiquitous environments based on behavior matchmaking. We argue that in many situations the service composition process
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Maeng, Ju Eun, Soon-Chan Kim, Myoung-Hyun Song, Nahyun Jeong, and Ja-Lok Ku. "Drug Discovery Platform Using Organoids." Journal of Digestive Cancer Research 10, no. 2 (2022): 82–91. http://dx.doi.org/10.52927/jdcr.2022.10.2.82.

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Nasim, Md, Xinghang Zhang, Anter El-Azab, and Yexiang Xue. "End-to-End Phase Field Model Discovery Combining Experimentation, Crowdsourcing, Simulation and Learning." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 21 (2024): 23005–11. http://dx.doi.org/10.1609/aaai.v38i21.30342.

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The availability of tera-byte scale experiment data calls for AI driven approaches which automatically discover scientific models from data. Nonetheless, significant challenges present in AI-driven scientific discovery: (i) The annotation of large scale datasets requires fundamental re-thinking in developing scalable crowdsourcing tools. (ii) The learning of scientific models from data calls for innovations beyond black-box neural nets. (iii) Novel visualization & diagnosis tools are needed for the collaboration of experimental and theoretical physicists, and computer scientists. We presen
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Knowles, Tuomas PJ. "A new platform for drug discovery." Future Drug Discovery 1, no. 2 (2019): FDD20. http://dx.doi.org/10.4155/fdd-2019-0030.

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Professor Tuomas Knowles gained his PhD in biophysics from the University of Cambridge (UK) in 2007 and went on to work at Harvard University (MA, USA) before returning to Cambridge as a lecturer, gaining professorship in 2015. He is the founder and Chief Scientific Officer of Fluidic Analytics (Cambridge, UK), a biotech company developing next-generation protein analysis platforms that operate under native conditions in solution. Here he speaks to Future Drug Discovery Editor Jennifer Straiton about Fluidic Analytics' new platform Fluidity One-W, discussing how it works and what benefit it ca
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Miller, Ryan A., Peter Woollard, Egon L. Willighagen, et al. "Explicit interaction information from WikiPathways in RDF facilitates drug discovery in the Open PHACTS Discovery Platform." F1000Research 7 (January 17, 2018): 75. http://dx.doi.org/10.12688/f1000research.13197.1.

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Open PHACTS is a pre-competitive project to answer scientific questions developed recently by the pharmaceutical industry. Having high quality biological interaction information in the Open PHACTS Discovery Platform is needed to answer multiple pathway related questions. To address this, updated WikiPathways data has been added to the platform. This data includes information about biological interactions, such as stimulation and inhibition. The platform's Application Programming Interface (API) was extended with appropriate calls to reference these interactions. These new methods of the Open P
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Miller, Ryan A., Peter Woollard, Egon L. Willighagen, et al. "Explicit interaction information from WikiPathways in RDF facilitates drug discovery in the Open PHACTS Discovery Platform." F1000Research 7 (October 12, 2018): 75. http://dx.doi.org/10.12688/f1000research.13197.2.

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Open PHACTS is a pre-competitive project to answer scientific questions developed recently by the pharmaceutical industry. Having high quality biological interaction information in the Open PHACTS Discovery Platform is needed to answer multiple pathway related questions. To address this, updated WikiPathways data has been added to the platform. This data includes information about biological interactions, such as stimulation and inhibition. The platform's Application Programming Interface (API) was extended with appropriate calls to reference these interactions. These new methods of the Open P
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7

Ben Mokhtar, Sonia, Pierre-Guillaume Raverdy, Aitor Urbieta, and Roberto Speicys Cardoso. "Interoperable Semantic and Syntactic Service Discovery for Ambient Computing Environments." International Journal of Ambient Computing and Intelligence 2, no. 4 (2010): 13–32. http://dx.doi.org/10.4018/jaci.2010100102.

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The inherent heterogeneity of ambient computing environments and their constant evolution requires middleware platforms to manage networked components designed, developed, and deployed independently. Such management must also be efficient to cater for resource-constrained devices and highly dynamic situations due to the spontaneous appearance and disappearance of networked resources. For service discovery protocols (SDP), one of the main functions of service-oriented architectures (SOA), the efficiency of the matching of syntactic service descriptions is most often opposed to the fullness of t
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Tomic, Adriana, Ivan Tomic, Levi Waldron, et al. "SIMON: Open-Source Knowledge Discovery Platform." Patterns 2, no. 1 (2021): 100178. http://dx.doi.org/10.1016/j.patter.2020.100178.

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9

Escoubas, Pierre, and Glenn F. King. "Venomics as a drug discovery platform." Expert Review of Proteomics 6, no. 3 (2009): 221–24. http://dx.doi.org/10.1586/epr.09.45.

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10

Ellis, J., and M. Bhatia. "iPSC Technology: Platform for Drug Discovery." Clinical Pharmacology & Therapeutics 89, no. 5 (2011): 639–41. http://dx.doi.org/10.1038/clpt.2011.22.

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11

Roman, Shilina, and Martin O’Rourke. "Translational Platform for Immuno-Oncology Discovery." Genetic Engineering & Biotechnology News 38, no. 16 (2018): 10–11. http://dx.doi.org/10.1089/gen.38.16.06.

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12

Okuno, Yasushi. "AI platform to accelerate drug discovery." Drug Metabolism and Pharmacokinetics 61 (June 2025): 101077. https://doi.org/10.1016/j.dmpk.2025.101077.

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13

Cuijuan, Xia, Liu Wei, and Zhang Lei. "Implementation of a Linked Data-Based Genealogy Knowledge Service Platform for Digital Humanities." Data and Information Management 2, no. 1 (2018): 15–26. http://dx.doi.org/10.2478/dim-2018-0005.

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Abstract Linked data is becoming a mature technology as a lightweight realization of the Semantic Web, as well as a way of facilitating knowledge reorganization and discovery. As a use case and start point, based on linked data technology, a genealogy knowledge service platform was implemented by the Shanghai Library for providing knowledge discovery and open data services. This article explains the design and development of the Genealogy Knowledge Service Platform, describes the method and process of the implementation, and introduces four examples of how the platform helps users to discover
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Eslami, Motahhare, Kristen Vaccaro, Karrie Karahalios, and Kevin Hamilton. "“Be Careful; Things Can Be Worse than They Appear”: Understanding Biased Algorithms and Users’ Behavior Around Them in Rating Platforms." Proceedings of the International AAAI Conference on Web and Social Media 11, no. 1 (2017): 62–71. http://dx.doi.org/10.1609/icwsm.v11i1.14898.

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Awareness of bias in algorithms is growing among scholars and users of algorithmic systems. But what can we observe about how users discover and behave around such biases? We used a cross-platform audit technique that analyzed online ratings of 803 hotels across three hotel rating platforms and found that one site’s algorithmic rating system biased ratings, particularly low-to-medium quality hotels, significantly higher than others (up to 37%). Analyzing reviews of 162 users who independently discovered this bias, we seek to understand if, how, and in what ways users perceive and manage this b
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15

McKelvey, Fenwick, and Robert Hunt. "Discoverability: Toward a Definition of Content Discovery Through Platforms." Social Media + Society 5, no. 1 (2019): 205630511881918. http://dx.doi.org/10.1177/2056305118819188.

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Discoverability is a concept of growing use in digital cultural policy, but it lacks a clear and comprehensive definition. Typically, discoverability is narrowly defined as a problem for content creators to find an audience given an abundance of choice. This view misses the important ways that apps, online stores, streaming services, and other platforms coordinate the experiences of content discovery. In this article, we propose an analytical framework for studying the dynamic and personalized processes of content discovery on platforms. Discoverability is a kind of media power constituted by
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16

Shin, Dong-Hyuk, Ga-Yeong Kim, and Ieck-Chae Euom. "Vulnerabilities of the Open Platform Communication Unified Architecture Protocol in Industrial Internet of Things Operation." Sensors 22, no. 17 (2022): 6575. http://dx.doi.org/10.3390/s22176575.

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Recently, as new threats from attackers are discovered, the damage and scale of these threats are increasing. Vulnerabilities should be identified early, and countermeasures should be implemented to solve this problem. However, there are limitations to applying the vulnerability discovery framework used in practice. Existing frameworks have limitations in terms of the analysis target. If the analysis target is abstract, it cannot be easily applied to the framework. Therefore, this study proposes a framework for vulnerability discovery and countermeasures that can be applied to any analysis tar
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17

Persidis, Aris. "Signal transduction as a drug-discovery platform." Nature Biotechnology 16, no. 11 (1998): 1082–83. http://dx.doi.org/10.1038/3553.

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18

Schena, M. "Microarrays: biotechnology's discovery platform for functional genomics." Trends in Biotechnology 16, no. 7 (1998): 301–6. http://dx.doi.org/10.1016/s0167-7799(98)01219-0.

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19

Chen, Min-Xiou, and Tze-Chin Tzeng. "Integrating service discovery technologies in OSGi platform." Computer Standards & Interfaces 33, no. 3 (2011): 271–79. http://dx.doi.org/10.1016/j.csi.2010.05.004.

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20

Siuzdak, Gary. "A metabolomics platform for discovery and diagnosis." European Journal of Pharmaceutical Sciences 34, no. 1 (2008): S22. http://dx.doi.org/10.1016/j.ejps.2008.02.052.

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21

Hanlon, Matthew R., Matthew Vaughn, Stephen Mock, et al. "Araport: an application platform for data discovery." Concurrency and Computation: Practice and Experience 27, no. 16 (2015): 4412–22. http://dx.doi.org/10.1002/cpe.3542.

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22

Yu, Tian, Jonathan Hull, Andrea Ruiz, Ashwini Bhat, and Amar Basu. "Expediting antibody discovery using Bioelectronica’s HypercellTM platform." Journal of Immunology 204, no. 1_Supplement (2020): 86.36. http://dx.doi.org/10.4049/jimmunol.204.supp.86.36.

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Abstract Antibody-based drugs have been successful in a range of therapeutic categories. However, generating monoclonal antibodies is time-consuming and expensive. A common approach is Hybridoma technology, which overcomes the short life-span of IgG-secreting plasma B cells in vitro. However, many plasma B cells are lost due to the low efficiency of hybridoma cell fusion (typically <10%). Direct single B cell screening strategies have emerged to bypass hybridoma fusion and recombinatorial display, coupled with the generation of recombinant monoclonal antibodies through mammalian express
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23

Das, Debanu, Matthew A. J. Duncton, Taxiarchis M. Georgiadis, et al. "A New Drug Discovery Platform: Application to DNA Polymerase Eta and Apurinic/Apyrimidinic Endonuclease 1." International Journal of Molecular Sciences 24, no. 23 (2023): 16637. http://dx.doi.org/10.3390/ijms242316637.

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The ability to quickly discover reliable hits from screening and rapidly convert them into lead compounds, which can be verified in functional assays, is central to drug discovery. The expedited validation of novel targets and the identification of modulators to advance to preclinical studies can significantly increase drug development success. Our SaXPyTM (“SAR by X-ray Poses Quickly”) platform, which is applicable to any X-ray crystallography-enabled drug target, couples the established methods of protein X-ray crystallography and fragment-based drug discovery (FBDD) with advanced computatio
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24

Warner, Rickey, and Pam J. Sherbia. "A Niche Discovery in the Metaverse." International Journal of Business & Management Studies 04, no. 02 (2023): 08–19. http://dx.doi.org/10.56734/ijbms.v4n2a2.

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Over time, social media has evolved. In this study, secondary, targeting, and portfolio matrix models are integrated for competitive positioning. Similarly, to others, Facebook continues to serve a strategically diverse audience of targeted users. Due to the Covid-19 Pandemic, there was a need for social engagement, distancing, and isolation. The Facebook platform faced competition among social media platforms in trying to attract a younger demographic, Generation Y, Z, and A. Founder Mark Zuckerberg announced Meta to address this challenge. The Metaverse was launched into the universe thanks
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25

Perenkov, Alexey D., Alena D. Sergeeva, Maria V. Vedunova, and Dmitri V. Krysko. "In Vitro Transcribed RNA-Based Platform Vaccines: Past, Present, and Future." Vaccines 11, no. 10 (2023): 1600. http://dx.doi.org/10.3390/vaccines11101600.

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mRNA was discovered in 1961, but it was not used as a vaccine until after three decades. Recently, the development of mRNA vaccine technology gained great impetus from the pursuit of vaccines against COVID-19. To improve the properties of RNA vaccines, and primarily their circulation time, self-amplifying mRNA and trans-amplifying mRNA were developed. A separate branch of mRNA technology is circular RNA vaccines, which were developed with the discovery of the possibility of translation on their protein matrix. Circular RNA has several advantages over mRNA vaccines and is considered a fairly pr
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26

Sarnecky, Jeremy, Joseph Lewis, Jason Allen, et al. "Abstract LB429: Discovery and identification of a novel cancer associated fibroblast target using Oxford Biotherapeutics (OBTs) OGAP discovery platform." Cancer Research 84, no. 7_Supplement (2024): LB429. http://dx.doi.org/10.1158/1538-7445.am2024-lb429.

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Abstract Cancer Associated Fibroblasts (CAFs) are a major component of the tumor stromal microenvironment and have been indicated in promoting tumor growth as well as inhibiting tumor suppression mechanisms. One of the challenges in this field has been a lack of molecules that target CAFs specifically and can interfere with the CAF function. Here we describe a novel target discovered using OBTs proprietary OGAP platform, that appears to be specific for CAFs in a variety of tumor tissues. Interestingly this target appears to be minimally expressed in normal tissue fibroblasts by in situ hybridi
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Ribeiro da Cunha, Fonseca, and Calado. "Antibiotic Discovery: Where Have We Come from, Where Do We Go?" Antibiotics 8, no. 2 (2019): 45. http://dx.doi.org/10.3390/antibiotics8020045.

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Given the increase in antibiotic-resistant bacteria, alongside the alarmingly low rate of newly approved antibiotics for clinical usage, we are on the verge of not having effective treatments for many common infectious diseases. Historically, antibiotic discovery has been crucial in outpacing resistance and success is closely related to systematic procedures—platforms—that have catalyzed the antibiotic golden age, namely the Waksman platform, followed by the platforms of semi-synthesis and fully synthetic antibiotics. Said platforms resulted in the major antibiotic classes: aminoglycosides, am
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28

Oldenhof, Martijn, Gergely Ács, Balázs Pejó, et al. "Industry-Scale Orchestrated Federated Learning for Drug Discovery." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 13 (2023): 15576–84. http://dx.doi.org/10.1609/aaai.v37i13.26847.

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To apply federated learning to drug discovery we developed a novel platform in the context of European Innovative Medicines Initiative (IMI) project MELLODDY (grant n°831472), which was comprised of 10 pharmaceutical companies, academic research labs, large industrial companies and startups. The MELLODDY platform was the first industry-scale platform to enable the creation of a global federated model for drug discovery without sharing the confidential data sets of the individual partners. The federated model was trained on the platform by aggregating the gradients of all contributing partners
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Naresh, Babu Bynagari. "On the ChEMBL Platform, a Large-scale Evaluation of Machine Learning Algorithms for Drug Target Prediction." Asian Journal of Applied Science and Engineering 7, no. 1 (2018): 53–64. https://doi.org/10.5281/zenodo.5622630.

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Deep learning is currently the most successful machine learning technology in a wide range of application fields, and it has recently been used to forecast possible therapeutic targets and screen for active compounds in drug discovery research. However, it is unclear whether deep learning can outperform existing computational methods in drug discovery tasks due to the lack of large-scale studies, the compound series bias that is common in drug discovery datasets, and the hyperparameter selection bias that comes with the large number of potential deep learning architectures. As a result, we com
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Achenbach, Kelly, Marta Błaszczyńska, Stefano De Paoli, et al. "Defining discovery: Is Google Scholar a discovery platform? An essay on the need for a new approach to scholarly discovery." Open Research Europe 2 (June 7, 2022): 28. http://dx.doi.org/10.12688/openreseurope.14318.2.

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This essay discusses the concept of discovery, intended as content discovery, and defines it in the new context of Open Science, with a focus on Social Sciences and Humanities (SSH). Starting from the example of Google Scholar, the authors show that this well established service does not address the current needs, practices, and variety of discovery. Alternatives in terms of technical choices, features, and governance, do however exist, offering richer and more open discovery. The paper presents in particular the implementations and research work of the H2020 project TRIPLE (Transforming Resea
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Achenbach, Kelly, Marta Błaszczyńska, Stefano De Paoli, et al. "Defining discovery: Is Google Scholar a discovery platform? An essay on the need for a new approach to scholarly discovery." Open Research Europe 2 (March 2, 2022): 28. http://dx.doi.org/10.12688/openreseurope.14318.1.

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This essay discusses the concept of discovery, intended as content discovery, and defines it in the new context of Open Science, with a focus on Social Sciences and Humanities (SSH). Starting from the example of Google Scholar, the authors argue that this well-established service does not address the current needs, practices, and variety of discovery. Alternatives in terms of technical choices, features, and governance, do however exist, offering richer and more open discovery. The paper presents, in particular, the implementations and research work of the H2020 project TRIPLE (Transforming Re
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32

Batur, Gokhan, Philipp Ermert, Johann Zimmermann, and Daniel Obrecht. "Macrocycle Therapeutics to Treat Life-threatening Diseases." CHIMIA International Journal for Chemistry 75, no. 6 (2021): 508–13. http://dx.doi.org/10.2533/chimia.2021.508.

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Polyphor's macrocycle platform led to the discovery of novel antibiotics addressing specifically Gramnegative bacteria by targeting outer membrane proteins. Furthermore, POL6014, an inhibitor of neutrophile elastase and balixafortide, a CXCR4 inhibitor have been discovered and developed from the platform. Currently a combination of balixafortide and eribulin is in Phase III clinical trial for the treatment of patients with advanced metastatic HER2-negative breast cancer.
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Akondi, Kalyana Bharati, Marianne Paolini-Bertrand, and Oliver Hartley. "Precision-engineered Peptide and Protein Analogs: Establishing a New Discovery Platform for Potent GPCR Modulators." CHIMIA International Journal for Chemistry 75, no. 6 (2021): 489–94. http://dx.doi.org/10.2533/chimia.2021.489.

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Numerous members of the human G protein-coupled receptor (GPCR) superfamily are receptors of therapeutic interest. GPCRs are considered to be highly tractable for drug discovery, representing the targets of approximately one-third of currently licensed drugs. These successful drug discovery outcomes cover only a relatively small subset of the superfamily, however, and many other attractive receptors have proven to present significant challenges. Among these difficult GPCRs are those whose natural ligands are peptides and proteins. In this review we explain the obstacles faced by GPCR drug disc
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Valencia, Sócrates Herrera, Diana Carolina Rodríguez, Diana Lucía Acero, Vanessa Ocampo, and Myriam Arévalo-Herrera. "Platform for Plasmodium vivax vaccine discovery and development." Memórias do Instituto Oswaldo Cruz 106, suppl 1 (2011): 179–92. http://dx.doi.org/10.1590/s0074-02762011000900023.

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35

Gadioli, Davide, Gianmarco Accordi, Jan Krenek, et al. "A Portable Drug Discovery Platform for Urgent Computing." Procedia Computer Science 240 (2024): 42–51. http://dx.doi.org/10.1016/j.procs.2024.07.007.

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36

Afkarian, Maryam, Manoj Bhasin, Simon T. Dillon, et al. "Optimizing a Proteomics Platform for Urine Biomarker Discovery." Molecular & Cellular Proteomics 9, no. 10 (2010): 2195–204. http://dx.doi.org/10.1074/mcp.m110.000992.

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37

Zhang, Jiashuai, Wenkai Li, Min Zeng, et al. "NetEPD: A network-based essential protein discovery platform." Tsinghua Science and Technology 25, no. 4 (2020): 542–52. http://dx.doi.org/10.26599/tst.2019.9010056.

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38

Artal-Sanz, Marta, Liesbeth de Jong, and Nektarios Tavernarakis. "Caenorhabditis elegans: A versatile platform for drug discovery." Biotechnology Journal 1, no. 12 (2006): 1405–18. http://dx.doi.org/10.1002/biot.200600176.

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39

Kulasingam, Vathany, and Eleftherios P. Diamandis. "Tissue culture-based breast cancer biomarker discovery platform." International Journal of Cancer 123, no. 9 (2008): 2007–12. http://dx.doi.org/10.1002/ijc.23844.

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40

Stöckmann, H., R. O'Flaherty, B. Adamczyk, R. Saldova, and P. M. Rudd. "Automated, high-throughput serum glycoprofiling platform." Integrative Biology 7, no. 9 (2015): 1026–32. http://dx.doi.org/10.1039/c5ib00130g.

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41

Utikar, Prof Avinash A. "A Kotlin and Firebase Based Project Discovery Platform with Cosine Similarity-Based Recommendation." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (2024): 3001–6. http://dx.doi.org/10.22214/ijraset.2024.60556.

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Abstract: In today's interconnected world, mobile applications have become integral to our daily lives, revolutionizing how we communicate, work, and collaborate. we present an Android application utilizing Kotlin, Firebase, and a cosine-based recommendation system to address the challenge of project collaboration and discovery. The application aims to provide users with a seamless and personalized experience, empowering them to discover, collaborate on, and contribute to projects aligned with their interests and expertise. By integrating Firebase, the application ensures real-time data synchr
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Fadziso, Takudzwa, Harshini Priya Adusumalli, and Mahesh Babu Pasupuleti. "Cloud of Things and Interworking IoT Platform: Strategy and Execution Overviews." Asian Journal of Applied Science and Engineering 7, no. 1 (2018): 85–92. http://dx.doi.org/10.18034/ajase.v7i1.49.

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An IoT platform is a multi-layer system that enables linked device automation. IoT platforms are enabling software that connects various hardware devices, access points, and networks to other sections of the value chain. Virtual objects are now essential in any IoT platform. In this work, we design and create a cloud-based IoT platform that allows users to register and initialize virtual objects, then consume them via the IoT marketplace and integrate them into IoT applications. The proposed IoT platform differs from previous IoT platforms in that it provides both hardware and software service
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Arun, Gayatri, Kendall Anderson, Miguel Angel Manzanares, et al. "SpliceIO: A robust platform for the discovery and validation of splicing-derived neoantigens." Journal of Clinical Oncology 41, no. 16_suppl (2023): 2581. http://dx.doi.org/10.1200/jco.2023.41.16_suppl.2581.

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2581 Background: Splicing dysregulation is a major hallmark of cancer, affecting tumor progression, metastasis, and therapy resistance. Aberrant alternative splicing plays a critical role in generating tumor-specific neoantigens targetable through an arsenal of immunotherapeutic modalities. Such neoantigens cannot be discovered using conventional DNA-based tools; they require specialized software for alternative splicing analysis using RNA-seq data. Methods: Envisagenics has developed SpliceIO, a proprietary software platform for splicing-derived neoantigen discovery. SpliceIO uses RNA-seq dat
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44

FU, Hua Sen. "Practical Enhanced Topology Discovery Algorithm for MANET." Advanced Materials Research 760-762 (September 2013): 599–606. http://dx.doi.org/10.4028/www.scientific.net/amr.760-762.599.

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In order to effectively manage the communication nodes in Mobile Ad Hoc Network (MANET), it is important to know the topology of such networks. Traditional Ad-hoc On-demand Distance Vector (AODV) protocol can not get the MANET topology due to the lack of the topology discovery mechanism. Aiming at this problem, an enhanced topology discovery algorithm based on AODV (AODV-TD) is proposed. AODV-TD can not only obtain the topology of dynamic network by topology discovery request, but also realize route discovery among nodes. Finally, the proposed algorithm is implemented on a hardware platform us
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Pedersen, Gitte. "Hypothesis-free biomarker discovery platform evolving into a companion diagnostic using bioinformatics." Journal of Clinical Oncology 30, no. 30_suppl (2012): 52. http://dx.doi.org/10.1200/jco.2012.30.30_suppl.52.

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52 Background: Cancer drug discovery is hypothesis driven focused on addressing specific mechanisms; however the patient’s individual tumor harbor much more diversity and therefore the biomarkers behind the hypothesis are often insufficient in explaining the differences in individual drug response. A Danish Private Public Partnership is developing biomarkers for cancer prognostics under a $30 million grant. The Danish National Biobank was established by another $20 million grant and hosts approximately 15 million biological samples associated with cradle-to-grave electronic medical records. Me
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46

Kuznetsov, V. B., and A. N. Korshunov. "The history of the first kimberlite pipe discovery in the USSR." Mining Industry Journal (Gornay Promishlennost), no. 5S/2024 (December 6, 2024): 38–43. https://doi.org/10.30686/1609-9192-2024-5s-38-43.

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At least one thousand books and articles are published annually related to diamond topics. About 50 magazines in the world specialize in diamonds. Nevertheless, the discovery of primary diamond deposits in Russia (USSR) remained a blind spot in historical research for many decades. This was especially true when the topics concerned specific historical personalities who discovered the first kimberlite pipes. Only thanks to the systematic purposeful work of the state administration and the labour heroism of the Soviet people it was possible to successfully solve such an important task as the dis
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47

Du, Liang. "Research on the Construction of Library Knowledge Service Platform." Applied Mechanics and Materials 667 (October 2014): 55–59. http://dx.doi.org/10.4028/www.scientific.net/amm.667.55.

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Knowledge service is an important part of digital library. According to knowledge service mode of digital library, the paper builts a four-layer structure of knowledge service platform based on knowledge discovery. The platform consists of user layer, service layer, knowledge discovery layer and resources layer. Meanwhile the paper introduces the function modules of knowledge service platform.
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48

Ferguson*, David Joshua. "AI-Driven Retrosynthesis Framework for Drug Discovery: The Use of LLMs." Journal of Biomedical Research & Environmental Sciences 6, no. 5 (2024): 556–62. https://doi.org/10.37871/jbres2110.

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The process of retrosynthetic analysis, introduced by Corey, systematically deconstructs complex molecules into simpler precursors, providing a logical pathway for chemical synthesis. Here, we propose an innovative AI-driven retrosynthesis framework for drug discovery leveraging Large Language Models (LLMs) and advanced computational tools. This "retro drug discovery" platform integrates AlphaFold2-generated protein structures, MolGPT-driven scaffold generation, and a tailored ChatGPT model orchestrating Structure-Activity Relationship (SAR) analyses, virtual screening, and iterative optimizat
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49

Kantor, Aaron B. "Comprehensive phenotyping and biological marker discovery." Disease Markers 18, no. 2 (2002): 91–97. http://dx.doi.org/10.1155/2002/178798.

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There is an enormous unmet need for biological markers to characterize disease type, status, progression, and response to therapy. We are developing and applying an integrated bioanalytical platform and clinical research program to facilitate comprehensive differential phenotyping of patient samples and enable the discovery of biomarkers. The platform employs high-throughput, quantitative analysis for the characterization of thousands of parameters including cell populations, cell-surface antigen density, soluble proteins and soluble low molecular weight biomolecules, from small-volume biologi
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50

Laveille, Paco, Pascal Miéville, Sourav Chatterjee, et al. "Swiss CAT+, a Data-driven Infrastructure for Accelerated Catalysts Discovery and Optimization." CHIMIA 77, no. 3 (2023): 154. http://dx.doi.org/10.2533/chimia.2023.154.

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The Catalysis Hub – Swiss CAT+ is a new infrastructure project funded by ETH-domain, co-headed by EPFL and ETHZ. It offers the scientific community a unique integrated technology platform combining automated and high-throughput experimentation with advanced computational data analysis to accelerate the discoveries in the field of sustainable catalytic technologies. Divided into two hubs of expertise, homogeneous catalysis at EPFL and heterogeneous catalysis at ETHZ, the platform is open to academic and private research groups. Following a multi-year investment plan, both hubs have acquired and
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