Relevant bibliographies by topics / RAG Model

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'RAG Model'

Author: Grafiati
Published: 7 June 2025
Last updated: 16 July 2025

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Journal articles on the topic "RAG Model"

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Miot, Charline, Rahul Arya, Thomas Burn, Edward M. Behrens, and Craig Bassing. "Elucidating roles of the Rag1 N-terminus and RAG DSBs in shaping the cellular response to TCRa recombination." Journal of Immunology 204, no. 1_Supplement (2020): 80.8. http://dx.doi.org/10.4049/jimmunol.204.supp.80.8.

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Abstract The RAG1/RAG2 (RAG) endonuclease generates lymphocyte antigen receptor gene diversity via V(D)J recombination. The large numbers of V, D, and J segments and inherent imprecision in repair of RAG DNA double strand breaks (DSBs) together establish a vast diversity of antigen receptor specificities, including self-reactive receptors. Mechanisms have evolved to negatively select self-reactive cells and inhibit autoimmunity. In humans, deletion of the RAG1 N-terminus causes Omenn Syndrome, a fatal immunodeficiency with ab T cell-based autoimmunity. We discovered impaired negative selection
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Nagawa, Fumikiyo, Kei-ichiro Ishiguro, Akio Tsuboi, et al. "Footprint Analysis of the RAG Protein Recombination Signal Sequence Complex for V(D)J Type Recombination." Molecular and Cellular Biology 18, no. 1 (1998): 655–63. http://dx.doi.org/10.1128/mcb.18.1.655.

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ABSTRACT We have studied the interaction between recombination signal sequences (RSSs) and protein products of the truncated forms of recombination-activating genes (RAG) by gel mobility shift, DNase I footprinting, and methylation interference assays. Methylation interference with dimethyl sulfate demonstrated that binding was blocked by methylation in the nonamer at the second-position G residue in the bottom strand and at the sixth- and seventh-position A residues in the top strand. DNase I footprinting experiments demonstrated that RAG1 alone, or even a RAG1 homeodomain peptide, gave footp
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Mishra, Ankit, and Aniket Gupta. "Retrieval Augmented Generation (RAG) Model." International Journal of Research Publication and Reviews 6, no. 6 (2025): 4690–93. https://doi.org/10.55248/gengpi.6.0125.0635.

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Hall, Lucinda M. C., Stuart C. Fawell, Xiaoju Shi, et al. "Sequence Diversity and Antigenic Variation at the rag Locus of Porphyromonas gingivalis." Infection and Immunity 73, no. 7 (2005): 4253–62. http://dx.doi.org/10.1128/iai.73.7.4253-4262.2005.

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ABSTRACT The rag locus of Porphyromonas gingivalis W50 encodes RagA, a predicted tonB-dependent receptor protein, and RagB, a lipoprotein that constitutes an immunodominant outer membrane antigen. The low G+C content of the locus, an association with mobility elements, and an apparent restricted distribution in the species suggested that the locus had arisen by horizontal gene transfer. In the present study, we have demonstrated that there are four divergent alleles of the rag locus. The original rag allele found in W50 was renamed rag-1, while three novel alleles, rag-2 to rag-4, were found i
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Nagpure, Disha. "Advanced Multi Model RAG Application." International Journal of Scientific Research and Engineering Trends 10, no. 5 (2024): 2399–406. http://dx.doi.org/10.61137/ijsret.vol.10.issue5.305.

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Rogala, Kacper B., Xin Gu, Jibril F. Kedir, et al. "Structural basis for the docking of mTORC1 on the lysosomal surface." Science 366, no. 6464 (2019): 468–75. http://dx.doi.org/10.1126/science.aay0166.

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The mTORC1 (mechanistic target of rapamycin complex 1) protein kinase regulates growth in response to nutrients and growth factors. Nutrients promote its translocation to the lysosomal surface, where its Raptor subunit interacts with the Rag guanosine triphosphatase (GTPase)–Ragulator complex. Nutrients switch the heterodimeric Rag GTPases among four different nucleotide-binding states, only one of which (RagA/B•GTP–RagC/D•GDP) permits mTORC1 association. We used cryo–electron microscopy to determine the structure of the supercomplex of Raptor with Rag-Ragulator at a resolution of 3.2 angstrom
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Byrne, A., B. Beaton, and K. Wells. "224 CONSTRUCTION OF GENE TARGETING VECTORS FOR RAG-1 AND RAG-2." Reproduction, Fertility and Development 26, no. 1 (2014): 226. http://dx.doi.org/10.1071/rdv26n1ab224.

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Gene targeting in mammalian cells has become a routine technique and is currently used to study gene function, create biomedical models, and generate potential tissue sources for xenotransplantation. Severe combined immunodeficiency (SCID) is a condition characterised by the absence of T cells and a lack of B cell function. Severe combined immunodeficiency affects ~1 out of every 100 000 infants. Autosomal recessive SCID can occur due to a mutation within the recombination activating genes (RAG-1/RAG-2) that play a role in recombination of immunoglobulins and T-cell receptors. Gene targeting h
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Shi, Xiaoju, Shirley A. Hanley, Marie-Claire Faray-Kele, et al. "The rag Locus of Porphyromonas gingivalis Contributes to Virulence in a Murine Model of Soft Tissue Destruction." Infection and Immunity 75, no. 4 (2007): 2071–74. http://dx.doi.org/10.1128/iai.01785-06.

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ABSTRACT The rag locus of Porphyromonas gingivalis encodes a putative TonB-dependent outer membrane receptor, RagA, and a 55-kDa immunodominant antigen, RagB. Inactivation of either ragA or ragB prevented expression of both RagA and RagB. Both the ragA and ragB mutants were significantly less virulent than wild-type strains in a murine model of infection.
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Ji, Yanhong, Alicia J. Little, Joydeep K. Banerjee, et al. "Promoters, enhancers, and transcription target RAG1 binding during V(D)J recombination." Journal of Experimental Medicine 207, no. 13 (2010): 2809–16. http://dx.doi.org/10.1084/jem.20101136.

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V(D)J recombination assembles antigen receptor genes in a well-defined order during lymphocyte development. This sequential process has long been understood in the context of the accessibility model, which states that V(D)J recombination is regulated by controlling the ability of the recombination machinery to gain access to its chromosomal substrates. Indeed, many features of “open” chromatin correlate with V(D)J recombination, and promoters and enhancers have been strongly implicated in creating a recombinase-accessible configuration in neighboring chromatin. An important prediction of the a
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Efeyan, Alejo, and David M. Sabatini. "Nutrients and growth factors in mTORC1 activation." Biochemical Society Transactions 41, no. 4 (2013): 902–5. http://dx.doi.org/10.1042/bst20130063.

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Growth factors and nutrients regulate the mTORC1 [mammalian (or mechanistic) target of rapamycin complex 1] by different mechanisms. The players that link growth factors and mTORC1 activation have been known for several years and mouse models have validated its relevance for human physiology and disease. In contrast with the picture for growth factor signalling, the means by which nutrient availability leads to mTORC1 activation have remained elusive until recently, with the discovery of the Rag GTPases upstream of mTORC1. The Rag GTPases recruit mTORC1 to the outer lysosomal surface, where gr
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Dissertations / Theses on the topic "RAG Model"

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Tanner, Anne. "Human Herpesvirus 6A Infection and Immunopathogenesis in Humanized Rag2-/-γc-/- Mice and Relevance to HIV/AIDS and Autoimmunity". BYU ScholarsArchive, 2016. https://scholarsarchive.byu.edu/etd/6078.

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Human herpesvirus 6A (HHV-6A) has yet to be definitively linked to a specific disease. This is due in part to the ubiquitous nature of the virus. Humanized Rag2-/-γc-/- (Rag-hu) mice were tested to determine if these were a suitable animal model to study the virus. Both cell-free and cell-associated virus was used for infection and both were found to be efficient at infecting the mice. Viral DNA was found in the plasma and cellular blood fractions, bone marrow, lymph node, and thymus, indicating successful infection and propagation of the virus in vivo. The CD3+CD4- population was depleted, wh
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Kanellopoulou, Chrysi. "Analysis of locus accessibility for V(D)J recombination and its potential in generating a mouse model for monitoring RAG protein expression in peripheral B cells." [S.l. : s.n.], 2001. http://deposit.ddb.de/cgi-bin/dokserv?idn=965433579.

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O, H.-Ici Darach Michael. "Multi-modal imaging of myocardial ischemia and reperfusion in a rat model." Thesis, King's College London (University of London), 2017. https://kclpure.kcl.ac.uk/portal/en/theses/multimodal-imaging-of-myocardial-ischemia-and-reperfusion-in-a-rat-model(43bf5945-ce02-48cc-a634-2ebf00cffc99).html.

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Myocardial ischaemia causes progressive cellular injury. Initially there is loss of function, followed by formation of oedema. Ischemia, if prolonged, will eventually lead to cell death. Revascularisation of occluded coronary arteries is an efficient tool to reduce infarct size in acute myocardial infarction. However, reperfusion in itself can be associated with a significant amount of myocardial damage. The structural and metabolic changes occurring in myocardial ischemia and reperfusion can now be studied in-vivo using magnetic resonance imaging (MRI) and are targets to optimise the treatmen
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Henzler, Thomas. "Visible-Rat-Model: ein digitales anatomisches Muskel-Knochen-Modell der hinteren Extremität der Ratte." [S.l. : s.n.], 2007. http://nbn-resolving.de/urn:nbn:de:bsz:289-vts-60581.

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Acheampong, Josephine. "Green Financing: Financing Circular Economy Companies : Case Studies of Ragn-Sellsföretagen AB and Inrego AB." Thesis, KTH, Entreprenörskap och Innovation, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-188677.

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The circular economy (CE) has been identified as a catalyst in sustainable development and economic growth that has the potential to move society from the traditional linear model of resource consumption in the form of take-make-waste to an innovative circular model in the form of reduce-reuse-recycle. Transitioning from the linear economy to the CE requires changes in four areas: material and product design, business models, global reverse networks and enabling business environments. This study considers the financing needs of CE companies as a result of business model changes. Through the ca
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Kompil, Mert Çelik H. Murat. "Modeling retail structural change of İzmir using a dynamic spatial interaction model/." [s.l.]: [s.n.], 2004. http://library.iyte.edu.tr/tezler/master/sehirplanlama/T000469.rar.

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Roženský, Mário. "Minimalistický objektově orientovaný "ray tracer"." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2008. http://www.nusl.cz/ntk/nusl-235869.

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This thesis brings an overview about scene rendering using the ray tracing method. It describes aspects used when creating the application which uses this method such as intersection computation, lighting and shading models etc. It also describes the basic algorithm used for rendering one frame. Each class of the object oriented design is described. There is also detail explanation what is the purpose of the each class in the model and what are the most important used methods. The work also contains demonstration application showing the usage of model in practice.
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Lebovitz, Marc A. (Marc Adam) 1975. "A prediction model for ray tracing." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/80095.

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Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, June 1999.<br>Includes bibliographical references (leaf 86).<br>by Marc A. Lebovitz.<br>M.Eng.
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Felix, Francisco HÃlder Cavalcante. "Rat brain Walker tumor implantation model." Universidade Federal do CearÃ, 2001. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=34.

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Conselho Nacional de Desenvolvimento CientÃfico e TecnolÃgico<br>CoordenaÃÃo de AperfeiÃoamento de Pessoal de NÃvel Superior<br>The disabling effects of central nervous system (CNS) tumors are out of proportion to their low incidence. Theyâre second only to stroke as neurologic mortality causes. Brain metastases are the commonest intracranial tumors in adults, almost 10 times more frequent than primary brain tumors. Their diagnosis and treatment have met significant advances, although much more research about drug resistance and new treatment modalities are needed. New and even better brain tu
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Xiao, Feipeng. "Development of fatigue predictive models of rubberized asphalt concrete (RAC) containing reclaimed asphalt pavement (RAP) mixtures." Connect to this title online, 2006. http://etd.lib.clemson.edu/documents/1171902609/.

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Books on the topic "RAG Model"

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Hamiel, Daniel. Model ishiyuti be-mishnat ha-Rav Ḳuḳ. ḥ. mo. l., 1992.

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United States. National Aeronautics and Space Administration., ed. Integrating O&S models during conceptual design: PART II:reliability and maintainability model (RAM) user and maintenance manual. National Aeronautics and Space Administration, 1994.

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Meeting, Scanning Microscopy, ed. The Aged rat model for bone biology studies. Scanning Microscopy International, 1991.

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Ahmad, Anees. Software to model AXAF-I image quality: Final report. National Aeronautics and Space Administration, 1995.

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Chen, Feng, and United States. National Aeronautics and Space Administration., eds. Software to model AXAF-I image quality: Final report. National Aeronautics and Space Administration, 1995.

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Zhen, Feng, and United States. National Aeronautics and Space Administration., eds. Software to model AXAF-I image quality: Final report. National Aeronautics and Space Administration, 1995.

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Tamaru, Takashi. Hydrogen fueled subsonic-ram-combustor model tests for an air-turbo-ram engine. National Aerospace Laboratory, 1990.

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Janus and Fondazione Marconi arte moderna e contemporanea, eds. Man Ray: Models. C. Cambi, 2013.

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Brainerd, Jerome James. [Cosmological gamma-ray burst model]: Final report for NASA grant NAG5-2056. National Aeronautics and Space Administration, 1993.

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A, Sturnock P., Daugherty J. K, and United States. National Aeronautics and Space Administration., eds. Cascade model of gamma-ray bursts: Power-law and annihilation-line components. Center for Space Science and Astrophysics, Stanford University, 1988.

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Book chapters on the topic "RAG Model"

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Yang, Yi, Wenxiao Tang, Yiwen Lu, Jiaming Wang, and Yiquan Jiang. "Similarity Measurement Model for Standard Clauses Based on RAG." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-4016-4_29.

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Babaei Giglou, Hamed, Tilahun Abedissa Taffa, Rana Abdullah, et al. "Scholarly Question Answering Using Large Language Models in the NFDI4DataScience Gateway." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-65794-8_1.

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AbstractThis paper introduces a scholarly Question Answering (QA) system on top of the NFDI4DataScience Gateway, employing a Retrieval Augmented Generation-based (RAG) approach. The NFDI4DS Gateway, as a foundational framework, offers a unified and intuitive interface for querying various scientific databases using federated search. The RAG-based scholarly QA, powered by a Large Language Model (LLM), facilitates dynamic interaction with search results, enhancing filtering capabilities and fostering a conversational engagement with the Gateway search. The effectiveness of both the Gateway and the scholarly QA system is demonstrated through experimental analysis.
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Dandri, Maura, Martin R. Burda, Urte Matschl, Karsten Wursthorn, and Joerg Petersen. "Progress and Perspectives of the uPA/RAG-2 Mouse Model: Liver Repopulation and Viral Infection Studies." In Monographs in Virology. KARGER, 2005. http://dx.doi.org/10.1159/000084331.

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Storer, James A. "RAM Model." In An Introduction to Data Structures and Algorithms. Birkhäuser Boston, 2002. http://dx.doi.org/10.1007/978-1-4612-0075-8_1.

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Singh, Bhawna. "Stop Hallucinations with RAG." In Building Applications with Large Language Models. Apress, 2024. http://dx.doi.org/10.1007/979-8-8688-0569-1_5.

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Niewiesk, S. "Current Animal Models: Cotton Rat Animal Model." In Current Topics in Microbiology and Immunology. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-70617-5_5.

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Luu, Hien, Max Pumperla, and Zhe Zhang. "Model Training Infrastructure." In MLOps with Ray. Apress, 2024. http://dx.doi.org/10.1007/979-8-8688-0376-5_4.

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Luu, Hien, Max Pumperla, and Zhe Zhang. "Model Serving Infrastructure." In MLOps with Ray. Apress, 2024. http://dx.doi.org/10.1007/979-8-8688-0376-5_5.

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Lukaszuk, Miroslaw. "Diabetic Rat Model." In Plastic and Reconstructive Surgery. Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-6335-0_66.

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Ali, Hazrat, Shafaq Murad, and Zubair Shah. "Spot the Fake Lungs: Generating Synthetic Medical Images Using Neural Diffusion Models." In Communications in Computer and Information Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-26438-2_3.

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AbstractGenerative models are becoming popular for the synthesis of medical images. Recently, neural diffusion models have demonstrated the potential to generate photo-realistic images of objects. However, their potential to generate medical images is not explored yet. We explore the possibilities of synthesizing medical images using neural diffusion models. First, we use a pre-trained DALLE2 model to generate lungs X-Ray and CT images from an input text prompt. Second, we train a stable diffusion model with 3165 X-Ray images and generate synthetic images. We evaluate the synthetic image data through a qualitative analysis where two independent radiologists label randomly chosen samples from the generated data as real, fake, or unsure. Results demonstrate that images generated with the diffusion model can translate characteristics that are otherwise very specific to certain medical conditions in chest X-Ray or CT images. Careful tuning of the model can be very promising. To the best of our knowledge, this is the first attempt to generate lungs X-Ray and CT images using neural diffusion models. This work aims to introduce a new dimension in artificial intelligence for medical imaging. Given that this is a new topic, the paper will serve as an introduction and motivation for the research community to explore the potential of diffusion models for medical image synthesis. We have released the synthetic images on https://www.kaggle.com/datasets/hazrat/awesomelungs.
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Conference papers on the topic "RAG Model"

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Mishra, Aniket, Aniket Gupta, and Anil Kumar Sagar. "Retrieval Augmented Generation (RAG) Model." In 2025 First Global Conference on AI Research and Emerging Developments. Ganitara Research Foundation, 2025. https://doi.org/10.63169/gcared2025.p16.

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Li, Xiang, Yangfan He, Shuaishuai Zu, et al. "Multi-Modal Large Language Model with RAG Strategies in Soccer Commentary Generation." In 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE, 2025. https://doi.org/10.1109/wacv61041.2025.00604.

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Xu, Shuo, and Jinsong Zhao. "AutoJSA: A Knowledge-Enhanced Large Language Model Framework for Improving Job Safety Analysis." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.186169.

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Job Safety Analysis (JSA) is critical for proactively identifying workplace hazards, assessing their potential consequences, and implementing effective control measures. However, traditional JSA methods can be inefficient and prone to errors, particularly in complex industrial environments. This paper introduces AutoJSA, a knowledge-enhanced framework that leverages large language models (LLMs) to automate and optimize the JSA process. We collected 73 high-quality JSA reports from a chemical engineering company and divided the JSA workflow into three key tasks: hazard identification, consequen
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Danuarta, Leo, Viny Christanti Mawardi, and Viciano Lee. "Retrieval-Augmented Generation (RAG) Large Language Model For Educational Chatbot." In 2024 Ninth International Conference on Informatics and Computing (ICIC). IEEE, 2024. https://doi.org/10.1109/icic64337.2024.10957676.

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Zhou, Zibo, Yi Yang, and Tianling Ren. "IHILLM-RAG: a safe and private medical large language model based on intelligent hardware interaction and retrieval-augmented generation (RAG)." In Fourth International Conference on Computational Imaging (CITA 2024), edited by Xiaopeng Shao. SPIE, 2025. https://doi.org/10.1117/12.3056789.

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Liu, Jiawang, Ye Tao, Fei Wang, Hui Li, and Xiugong Qin. "SiQA: A Large Multi-Modal Question Answering Model for Structured Images Based on RAG." In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10888359.

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Yi, Ningyuan, Chen Liu, Yue Wang, and Jianjun Yu. "MAEM: A Multi-Aspect Extraction Model for Enhanced Embedding in RAG." In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10889603.

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Yoon, Min-Joo, Sun-Mo Yoo, Jong-Hwa Park, and Ki-Woong Park. "Implementation of Multi-Level RAG Model for Enhanced Synergistic Vulnerability Analysis." In 2025 1st International Conference on Consumer Technology (ICCT-Pacific). IEEE, 2025. https://doi.org/10.1109/icct-pacific63901.2025.11012876.

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Zhang, Wanhao, Qianli Zhang, Enyu Yu, et al. "Leveraging RAG-Enhanced Large Language Model for Semi-Supervised Log Anomaly Detection." In 2024 IEEE 35th International Symposium on Software Reliability Engineering (ISSRE). IEEE, 2024. https://doi.org/10.1109/issre62328.2024.00026.

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Yu, Sihang, Zhaoxiang Li, Jinshan Chen, Xuhui Deng, and Chen Hou. "Malware Behavior Detection System with RAG-Enhanced eBPF and Advanced Language Model." In 2024 5th International Conference on Smart Grid and Energy Engineering (SGEE). IEEE, 2024. https://doi.org/10.1109/sgee64306.2024.10865871.

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Reports on the topic "RAG Model"

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Nur, Gazi Nazia. CoralAI: A RAG model to answer Coral-related queries. Iowa State University, 2024. https://doi.org/10.31274/cc-20250502-72.

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Lang, Jonas. Multilevel Modeling in R: Basic and Advanced Methods. Instats Inc., 2023. http://dx.doi.org/10.61700/aac2dxlrxcebk469.

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The seminar teaches basic and intermediate multilevel techniques used in the social, health, and organizational sciences in an accessible manner. The course relies on the free software R and the modeling packages lme4 and nlme along with help functions and datasets from the multilevel library (Bliese, 2021). Topics include (1) aggregation models and the use of agreement and reliability statistics like the ICC1, ICC2, and rwg, (2) model specification and interpretation of “standard” multilevel models used in organizational research (data centering, random slopes, interaction effects), (3) graph
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McDougall, Robert. Entropy Theory and RAS are Friends. GTAP Working Paper, 2000. http://dx.doi.org/10.21642/gtap.wp06.

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Presented at the Second Annual Conference on Global Economic Analysis Recent research in applications of entropy theory to matrix balancing problems in eco-nomics has put powerful new tools in the hands of data base developers, but overshadowed some previous findings. We recall earlier findings that the RAS is an entropy-theoretic model. Investigating the properties of a more recently proposed entropy-theoretic model, we find that in general the RAS remains preferable. We show further that the RAS can be obtained also as a generalised cross-entropy model. Finally, we present examples illus-tra
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Lang, Jonas. Multilevel Modeling in R: Basic and Advanced Methods + 1 Free Seminar. Instats Inc., 2022. http://dx.doi.org/10.61700/sw0snl2upp0gv469.

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The hands-on seminar teaches basic and intermediate multilevel techniques used in the social, health, and organizational sciences in an accessible manner. The course relies on the free software R and the modeling packages lme4 and nlme along with help functions and datasets from the multilevel library (Bliese, 2021). Topics include (1) aggregation models and the use of agreement and reliability statistics like the ICC1, ICC2, and rwg, (2) model specification and interpretation of “standard” multilevel models used in organizational research (data centering, random slopes, interaction effects),
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Acharya, Sushant, William Chen, Marco Del Negro, et al. Estimating HANK for Central Banks. Federal Reserve Bank of New York, 2023. http://dx.doi.org/10.59576/sr.1071.

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We provide a toolkit for efficient online estimation of heterogeneous agent (HA) New Keynesian (NK) models based on Sequential Monte Carlo methods. We use this toolkit to compare the out-of-sample forecasting accuracy of a prominent HANK model, Bayer et al. (2022), to that of the representative agent (RA) NK model of Smets and Wouters (2007, SW). We find that HANK’s accuracy for real activity variables is notably inferior to that of SW. The results for consumption in particular are disappointing since the main difference between RANK and HANK is the replacement of the RA Euler equation with th
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6

Foster, K. T. RAS Division model evaluation database tools. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/10195819.

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7

Foster, K. T. RAS Division model evaluation database description. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/10195823.

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8

Gould, Michael N. Characterizing a Rat Brca2 Knockout Model. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada471025.

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9

Oliver, Amanda, Catherine Murphy, Edmund Howe, and John Vest. Comparing methods for estimating water surface elevation between gages in the Lower Mississippi River. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/46915.

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Abstract:
Predicting a water surface elevation (WSElev) at a particular location has a wide range of applications like determining if a levee will overtop or how much a dike notch will increase water flow into a secondary channel. Five existing methods for predicting the water’s surface, (1) daily slope, (2) average slope, (3) River Analysis System (RAS) 1D, (4) RAS 2D, and (5) Adaptive Hydraulics modeling system (AdH), were used to predict the Mississippi River’s daily water surface from 10 October 2014 to 31 May 2016 at Friar’s Point, Greenville, and Natchez gages. The error, calculated as the model-p
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10

Letcher, Theodore, Julie Parno, Zoe Courville, Lauren Farnsworth, and Jason Olivier. A generalized photon-tracking approach to simulate spectral snow albedo and transmittance using X-ray microtomography and geometric optics. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/47122.

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A majority of snow radiative transfer models (RTMs) treat snow as a collection of idealized grains rather than an organized ice–air matrix. Here we present a generalized multi-layer photon-tracking RTM that simulates light reflectance and transmittance of snow based on X-ray micro- tomography images, treating snow as a coherent 3D structure rather than a collection of grains. The model uses a blended approach to expand ray-tracing techniques applied to sub-1 cm3 snow samples to snowpacks of arbitrary depths. While this framework has many potential applications, this study’s effort is focused o
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