Relevant bibliographies by topics / Meta Models

Contents

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

Academic literature on the topic 'Meta Models'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Meta Models"

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Wheeler, Gregory. "Models, Models, and Models." Metaphilosophy 44, no. 3 (2013): 293–300. http://dx.doi.org/10.1111/meta.12036.

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Ehrig, Karsten, Jochen Malte Küster, and Gabriele Taentzer. "Generating instance models from meta models." Software & Systems Modeling 8, no. 4 (2008): 479–500. http://dx.doi.org/10.1007/s10270-008-0095-y.

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Shenton, Andrew K., and Naomi V. Hay‐Gibson. "Information behaviour meta‐models." Library Review 61, no. 2 (2012): 92–109. http://dx.doi.org/10.1108/00242531211220735.

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Elfaham, Haitham, and Ulrich Epple. "Meta models for intralogistics." at - Automatisierungstechnik 68, no. 3 (2020): 208–21. http://dx.doi.org/10.1515/auto-2019-0083.

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AbstractIn industrial automation, adaptability is a key feature that can enhance the degree of autonomy in a plant sparing engineering months and costs. With the introduction of the service oriented architecture in control automation, a topology model is required to identify the vicinity relationships between the devices. Nowadays, due to the absence of the coupling between logistic aspects and control logic, the topology models are manually constructed which consequently affects the autonomy of the procedures generation. In this contribution, we introduce a concept to couple the logistics mod
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Conn, Vicki S. "Meta-Analysis for Models." Western Journal of Nursing Research 37, no. 4 (2015): 423–24. http://dx.doi.org/10.1177/0193945914563305.

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Babenyshev, S., and V. Rybakov. "Logics of Kripke meta-models." Logic Journal of IGPL 18, no. 6 (2009): 823–36. http://dx.doi.org/10.1093/jigpal/jzp047.

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Ma, Han, Baoyu Fan, Benjamin K. Ng, and Chan-Tong Lam. "VL-Meta: Vision-Language Models for Multimodal Meta-Learning." Mathematics 12, no. 2 (2024): 286. http://dx.doi.org/10.3390/math12020286.

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Multimodal learning is a promising area in artificial intelligence (AI) that can make the model understand different kinds of data. Existing works are trying to re-train a new model based on pre-trained models that requires much data, computation power, and time. However, it is difficult to achieve in low-resource or small-sample situations. Therefore, we propose VL-Meta, Vision Language Models for Multimodal Meta Learning. It (1) presents the vision-language mapper and multimodal fusion mapper, which are light model structures, to use the existing pre-trained models to make models understand
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Patterson, Eann. "On the credibility of engineering models and meta-models." Journal of Strain Analysis for Engineering Design 50, no. 4 (2015): 218–20. http://dx.doi.org/10.1177/0309324715577930.

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Hedges, Larry V. "Meta-Analysis." Journal of Educational Statistics 17, no. 4 (1992): 279–96. http://dx.doi.org/10.3102/10769986017004279.

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The use of statistical methods to combine the results of independent empirical research studies (meta-analysis) has a long history. Meta-analytic work can be divided into two traditions: tests of the statistical significance of combined results and methods for combining estimates across studies. The principal classes of combined significance tests are reviewed, and the limitations of these tests are discussed. Fixed effects approaches treat the effect magnitude parameters to be estimated as a consequence of a model involving fixed but unknown constants. Random effects approaches treat effect m
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Sheu, Ching-Fan, and Sawako Suzuki. "Meta-analysis using linear mixed models." Behavior Research Methods, Instruments, & Computers 33, no. 2 (2001): 102–7. http://dx.doi.org/10.3758/bf03195354.

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Dissertations / Theses on the topic "Meta Models"

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Bäckström, Fredrik, and Anders Ivarsson. "Meta-Model Guided Error Correction for UML Models." Thesis, Linköping University, Department of Computer and Information Science, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-8746.

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<p>Modeling is a complex process which is quite hard to do in a structured and controlled way. Many companies provide a set of guidelines for model structure, naming conventions and other modeling rules. Using meta-models to describe these guidelines makes it possible to check whether an UML model follows the guidelines or not. Providing this error checking of UML models is only one step on the way to making modeling software an even more valuable and powerful tool.</p><p>Moreover, by providing correction suggestions and automatic correction of these errors, we try to give the modeler as much
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Trefan, Laszlo. "Development of empirical models for pork quality." Thesis, University of Edinburgh, 2011. http://hdl.handle.net/1842/5761.

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Pork quality is an important issue for the whole meat chain, from producers, abattoirs, retailers through to costumers and is affected by a web of multi-factorial actions that occur throughout the pork production chain. A vast amount of information is available on how these diverse factors influence different pork quality traits. However, results derived from individual studies often vary and are in some cases even contradictory due to different experimental designs or different pork quality assessment techniques or protocols. Also, individual influencing factors are often studied in isolation
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Liu, Yang. "Automatic calibration of numerical models using meta-models." Thesis, University of Exeter, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.430566.

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Bashar, Hasanain. "Meta-modelling of intensive computational models." Thesis, University of Sheffield, 2016. http://etheses.whiterose.ac.uk/13667/.

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Engineering process design for applications that use computationally intensive nonlinear dynamical systems can be expensive in time and resources. The presented work reviews the concept of a meta-model as a way to improve the efficiency of this process. The proposed meta-model will have a computational advantage in implementation over the computationally intensive model therefore reducing the time and resources required to design an engineering process. This work proposes to meta-model a computationally intensive nonlinear dynamical system using reduced-order linear parameter varying system mo
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Kajero, Olumayowa T. "Meta-model assisted calibration of computational fluid dynamics simulation models." Thesis, University of Surrey, 2017. http://epubs.surrey.ac.uk/813857/.

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Computational fluid dynamics (CFD) is a computer-based analysis of the dynamics of fluid flow, and it is widely used in chemical and process engineering applications. However, computation usually becomes a herculean task when calibration of the CFD models with experimental data or sensitivity analysis of the output relative to the inputs is required. This is due to the simulation process being highly computationally intensive, often requiring a large number of simulation runs, with a single simulation run taking hours or days to be completed. Hence, in this research project, the kriging meta-m
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Popaiz, Alessandro <1987&gt. "Business Meta Model: A Structured Framework for Business Models Representation." Master's Degree Thesis, Università Ca' Foscari Venezia, 2013. http://hdl.handle.net/10579/2390.

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Given the central role of Business Models in company characterization, it is not surprising that a great deal of effort has been spent in studying suitable representations for them. Most of the proposed models, however, pursue a semi-formal human-readable graphical paradigm that is mainly meant to be discussed among stakeholders, rather than to be easily handled by information systems. In this paper we introduce a formal meta model that aspires to be general enough to capture the expressiveness of most currently adopted paradigms. At the same time, each produced Business Model instance is regu
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Barrowman, Nicholas J. "Nonlinear mixed effects models for meta-analysis." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp02/NQ57342.pdf.

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Salimi-Khorshidi, Gholamreza. "Statistical models for neuroimaging meta-analytic inference." Thesis, University of Oxford, 2011. http://ora.ox.ac.uk/objects/uuid:40a10327-7f36-42e7-8120-ae04bd8be1d4.

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A statistical meta-analysis combines the results of several studies that address a set of related research hypotheses, thus increasing the power and reliability of the inference. Meta-analytic methods are over 50 years old and play an important role in science; pooling evidence from many trials to provide answers that any one trial would have insufficient samples to address. On the other hand, the number of neuroimaging studies is growing dramatically, with many of these publications containing conflicting results, or being based on only a small number of subjects. Hence there has been increas
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Ko, Hung-Tse. "Distribution system meta-models in an electronic commerce environment." Ohio : Ohio University, 2001. http://www.ohiolink.edu/etd/view.cgi?ohiou1173977323.

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Preston, Carrol Lesley. "Statistical models of publication basis in meta-analysis." Thesis, Queen Mary, University of London, 2000. http://qmro.qmul.ac.uk/xmlui/handle/123456789/1624.

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Objectives: To review, apply and compare existing publication bias methodology. To extend the selection model methods that adjust combined estimates and to develop models to adjust for publication bias and heterogeneity simultaneously. ' Methods: Methodologies that test for the existence of publication bias, estimate the number of missing studies, and adjust combined estimates for publication bias are reviewed. Parametric weighted distribution methodology is developed further. The existing family of distributions is extended to include a logistic function. Weight functions previously limited t
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Books on the topic "Meta Models"

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Michael, Jennings, ed. Universal meta data models. Wiley, 2004.

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Marco, David. Universal Meta Data Models. John Wiley & Sons, Ltd., 2004.

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Konstantopoulos, Spyros. Fixed and mixed effects models in meta-analysis. IZA, 2006.

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Mohsen S.M.S.A.S Mostafa. Meta bolic alterations in models of diabetes mellitus. University of Manchester, 1996.

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R, Lehmann Donald, ed. Meta-analysis in marketing: Generalization of response models. Lexington Books, 1986.

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Cheung, T. W. Editing facilities for meta-models and application schema modelling. UMIST, 1994.

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George, Bailey, and Wenzek Hagen, eds. Irresistible!: Markets, models, and meta-value in consumer electronics. Prentice Hall Professional Technical Reference, 2006.

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Schüll, Anke. Ein Meta-Modell-Konzept zur Analyse von Geschäftsprozessen. J. Eul, 1999.

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Margaria, Tiziana, Susanne Graf, and Kim G. Larsen, eds. Models, Mindsets, Meta: The What, the How, and the Why Not? Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22348-9.

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Morita, Hiroyuki. Tamokuteki kumiawase saitekika mondai to meta hyūrisutikusu. Ōsaka Furitsu Daigaku Keizai Gakubu, 2001.

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Book chapters on the topic "Meta Models"

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Denker, Marcus, Mathieu Suen, and Stéphane Ducasse. "The Meta in Meta-object Architectures." In Objects, Components, Models and Patterns. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-69824-1_13.

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Vyas, Sonali, Sunil Gupta, and Abhishek Tyagi. "New Business Models for Meta-Health." In Meta-Health. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-5844-2_9.

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Lehmann, Grzegorz, Marco Blumendorf, Frank Trollmann, and Sahin Albayrak. "Meta-modeling Runtime Models." In Models in Software Engineering. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21210-9_21.

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Ehrig, Karsten, Jochen M. Küster, Gabriele Taentzer, and Jessica Winkelmann. "Generating Instance Models from Meta Models." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11768869_13.

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Cleophas, Ton J., and Aeilko H. Zwinderman. "Meta-analysis with General Loglinear Models." In Modern Meta-Analysis. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55895-0_15.

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Kumar, Anoop. "Models." In Meta-analysis in Clinical Research: Principles and Procedures. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-2370-0_5.

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Hahn, Christian, Cristián Madrigal-Mora, Klaus Fischer, Brian Elvesæter, Arne-Jørgen Berre, and Ingo Zinnikus. "Meta-models, Models, and Model Transformations: Towards Interoperable Agents." In Multiagent System Technologies. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11872283_11.

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Steyerberg, Ewout, Daan Nieboer, Thomas Debray, and Hans van Houwelingen. "Meta-Analysis of Prediction Models." In Handbook of Meta-Analysis. Chapman and Hall/CRC, 2020. http://dx.doi.org/10.1201/9781315119403-22.

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White, Barbara Y., Allan Collins, and John R. Frederiksen. "The Nature of Scientific Meta-Knowledge." In Models and Modeling. Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-0449-7_3.

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de Lara, Juan, and Esther Guerra. "Deep Meta-modelling with MetaDepth." In Objects, Models, Components, Patterns. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13953-6_1.

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Conference papers on the topic "Meta Models"

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Yan, Biwei, Kun Li, Minghui Xu, et al. "On Protecting the Data Privacy of Large Language Models (LLMs): A Survey." In 2024 International Conference on Meta Computing (ICMC). IEEE, 2024. https://doi.org/10.1109/icmc60390.2024.00008.

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Neto, L. Shelling, V. D. Huynh, J. R. Fitz, and S. Kroker. "Towards a Bispectral Meta-Cavity with Generative Models." In 2024 IEEE Photonics Conference (IPC). IEEE, 2024. https://doi.org/10.1109/ipc60965.2024.10799837.

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Lei, Yibin, Di Wu, Tianyi Zhou, et al. "Meta-Task Prompting Elicits Embeddings from Large Language Models." In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.acl-long.546.

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Wang, Yiming, Zhuosheng Zhang, Pei Zhang, Baosong Yang, and Rui Wang. "Meta-Reasoning: Semantics-Symbol Deconstruction for Large Language Models." In Findings of the Association for Computational Linguistics ACL 2024. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.findings-acl.34.

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Alazraki, Lisa, and Marek Rei. "Meta-Reasoning Improves Tool Use in Large Language Models." In Findings of the Association for Computational Linguistics: NAACL 2025. Association for Computational Linguistics, 2025. https://doi.org/10.18653/v1/2025.findings-naacl.440.

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Dasgupta, Anirban, Abhranil Das, and Anwesha Sengupta. "Glaucoma Classification from Fundus Images Using Meta-Learning Models." In 2025 7th International Conference on Signal Processing, Computing and Control (ISPCC). IEEE, 2025. https://doi.org/10.1109/ispcc66872.2025.11039324.

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Hu, Wentao, Jiarun Liu, Jiawei Wang, and Hui Tian. "Meta-DM: Applications of Diffusion Models on Few-Shot Learning." In 2024 IEEE International Conference on Image Processing (ICIP). IEEE, 2024. http://dx.doi.org/10.1109/icip51287.2024.10647300.

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Ahad, Jawad Ibn, Rafeed Mohammad Sultan, Abraham Kaikobad, et al. "Empowering Meta-Analysis: Leveraging Large Language Models for Scientific Synthesis." In 2024 IEEE International Conference on Big Data (BigData). IEEE, 2024. https://doi.org/10.1109/bigdata62323.2024.10825310.

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Hartmann, Thomas, Assaad Moawad, Cedric Schockaert, Francois Fouquet, and Yves Le Traon. "Meta-Modelling Meta-Learning." In 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems (MODELS). IEEE, 2019. http://dx.doi.org/10.1109/models.2019.00014.

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Alrimawi, Faeq, and Bashar Nuseibeh. "Meta-Modelling Kindness." In MODELS '24: ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems. ACM, 2024. http://dx.doi.org/10.1145/3640310.3674095.

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Reports on the topic "Meta Models"

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Moeyaert, Mariola. Advanced Meta-Analysis. Instats Inc., 2023. http://dx.doi.org/10.61700/ttn9i9ntp8uvj469.

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This seminar will introduce you to advanced meta-analytic methods. Commonly encountered meta-analytic topics and issues will be covered, including meta-regression models, methods for handling multiple effect sizes per study (i.e., dependent effect sizes), missing data, publication bias, meta-analysis SEM, and single-case experiments meta-analysis. During this seminar, participants will learn how to use RStudio to model these commonly encountered complexities. Hands-on exercises will be incorporated throughout the seminar. An official Instats certificate of completion is provided at the conclus
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Moeyaert, Mariola. Advanced Meta-Analysis. Instats Inc., 2023. http://dx.doi.org/10.61700/k4me5g0k92l56469.

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This seminar will introduce you to advanced meta-analytic methods. Commonly encountered meta-analytic topics and issues will be covered, including meta-regression models, methods for handling multiple effect sizes per study (i.e., dependent effect sizes), missing data, publication bias, meta-analysis SEM, and single-case experiments meta-analysis. During this seminar, participants will learn how to use RStudio to model these commonly encountered complexities. Hands-on exercises will be incorporated throughout the seminar. An official Instats certificate of completion is provided at the conclus
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van der Mensbrugghe, Dominique. The META 21 Integrated Assessment Model in GAMS and LHS Sampling. GTAP Working Paper, 2023. http://dx.doi.org/10.21642/gtap.wp95.

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The META 21 Integrated Assessment Model (Dietz et al., 2021) represents a fairly comprehensive climate change simulation model incorporating a number of features: (a) a recent simple climate model; (b) down-scaling of temperature change to the country level; (c) integration of a number of bio-physical tipping points linked to rising temperatures; and (d) economic damages linked to rising sea levels and temperature using recent country-level estimates from the literature. The original implementation of META 21 was in Excel and linked to the @Risk Excel add-in for performing Monte Carlo-type ana
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Deng, Yingjun, ShengJing Liu, Ming Zhao, Feng Zhao, Jun Guo, and Bin Yan. Diet-induced male infertility in mice models: a systematic review and network meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.5.0116.

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Review question / Objective: In order to compare the different high energy diet such as high-fat diet and high sugar diet how to damage the male mice model in metabolize and fertility,and explore a reliable mice model method in the study of obesity with male infertility. P：obesity mice model with male infertility. I: High energy diet such as High-fat or High-sugar diet. C:High-fat diet,High-sugar diet, compared with normal diet in mice model. O:High energy diet induce male mice obesity model and damage their fertility. S: Use network meta-analysis. Condition being studied: The relationship bet
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Borenstein, Michael. Meta-Analysis: An Introductory Course. Instats Inc., 2024. http://dx.doi.org/10.61700/hoeamu4owtjun1424.

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This four-day workshop provides the knowledge and skills needed to start conducting and reporting the results of meta-analyses. An emphasis is placed on the two primary types of meta-analysis: fixed-effects versus random-effects models. Each topic will be introduced at the conceptual level, followed by worked examples and exercises so that participants will feel comfortable performing these analyses on their own. All sessions include time for an extensive discussion.
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Huang, Jiapeng, Chunlan Yang, Kehong Zhao, et al. Transcutaneous Electrical Nerve Stimulation in Rodent Models of Neuropathic Pain: A Meta-Analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2021. http://dx.doi.org/10.37766/inplasy2021.11.0104.

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Liu, Yafeng, and Fan Zhang. A meta-analysis of different hralth education models for intestinal preparation before colonoscopy. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.3.0155.

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Li, Guangyao, Yuling Shi, Chuanghui Yang, Jinghu Li, Xueqin Hong, and Min Li. A Bayesian network meta-analysis of acupuncture to treat vascular dementia in animal models. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2021. http://dx.doi.org/10.37766/inplasy2021.11.0036.

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Wang, Yingxuan, Cheng Yan, and Liqin Zhao. The value of radiomics-based machine learning for hepatocellular carcinoma after TACE: a systematic evaluation and Meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.6.0100.

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Review question / Objective: Meta-analysis was performed to predict the efficacy and survival status of patients with hepatocellular carcinoma after the application of TACE, applying clinical models, radiomic models and combined models for non-invasive assessment.We performed a Meta-analysis on the prediction of efficacy and survival status after TACE for hepatocellular carcinoma. Condition being studied: Patients were scanned using CT or MR machines, and some patients had multiple follow-up records, and imaging feature extraction software was applied to extract regions of interest and build m
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van Gestel, Natasja, Kees Jan van Groenigen, Craig Osenberg, Jeffrey Dukes, and Paul Dijkstra. Biogeochemical Responses and Feedbacks to Climate Change: Synthetic Meta-Analyses Relevant to Earth System Models. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1429337.

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