Relevant bibliographies by topics / Non-local prior

Contents

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

Academic literature on the topic 'Non-local prior'

Author: Grafiati
Published: 9 March 2023
Last updated: 31 July 2025

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Journal articles on the topic "Non-local prior"

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Fan, Wenshi, Hancheng Yu, Tianming Chen, and Sheng Ji. "OCT Image Restoration Using Non-Local Deep Image Prior." Electronics 9, no. 5 (2020): 784. http://dx.doi.org/10.3390/electronics9050784.

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In recent years, convolutional neural networks (CNN) have been widely used in image denoising for their high performance. One difficulty in applying the CNN to medical image denoising such as speckle reduction in the optical coherence tomography (OCT) image is that a large amount of high-quality data is required for training, which is an inherent limitation for OCT despeckling. Recently, deep image prior (DIP) networks have been proposed for image restoration without pre-training since the CNN structures have the intrinsic ability to capture the low-level statistics of a single image. However,
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Dong Yayun, 董亚运, 毕笃彦 Bi Duyan, 何林远 He Linyuan, and 马时平 Ma Shiping. "Single Image Dehazing Algorithm Based On Non-Local Prior." Acta Optica Sinica 37, no. 11 (2017): 1110001. http://dx.doi.org/10.3788/aos201737.1110001.

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Cha, Geonho, Minsik Lee, Jungchan Cho, and Songhwai Oh. "Non-rigid surface recovery with a robust local-rigidity prior." Pattern Recognition Letters 110 (July 2018): 51–57. http://dx.doi.org/10.1016/j.patrec.2018.03.019.

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Feng, Mingkun, Xiaole Han, and Kai Zheng. "Non-Local Prior Dense Feature Distillation Network for Image Compressive Sensing." Information 15, no. 12 (2024): 773. https://doi.org/10.3390/info15120773.

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Deep learning-based image compressive sensing (CS) methods often suffer from high computational complexity and significant loss of image details in reconstructions. A non-local prior dense feature distillation network (NPDFD-Net) is proposed for image CS. First, the non-local priors of images are leveraged to enhance high-frequency information in the measurements. Second, a discrete wavelet decomposition learning module and an inverse discrete wavelet reconstruction module are designed to reduce information loss and significantly lower computational complexity. Third, a feature distillation me
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Xie, Bin, An Huang, and Hui Huang. "Weighted variational regularization image dehazing algorithm based on non-local prior." Journal of Physics: Conference Series 1345 (November 2019): 022007. http://dx.doi.org/10.1088/1742-6596/1345/2/022007.

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Zhao, Shengrong, Zehua Lyu, Hu Liang, and Mudar Sarem. "A Mixed Non-local Prior Model for Image Super-resolution Reconstruction." Chinese Journal of Electronics 26, no. 4 (2017): 778–83. http://dx.doi.org/10.1049/cje.2016.06.024.

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Kaplan, Adam, Eric F. Lock, and Mark Fiecas. "Bayesian GWAS with Structured and Non-Local Priors." Bioinformatics 36, no. 1 (2019): 17–25. http://dx.doi.org/10.1093/bioinformatics/btz518.

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Abstract Motivation The flexibility of a Bayesian framework is promising for GWAS, but current approaches can benefit from more informative prior models. We introduce a novel Bayesian approach to GWAS, called Structured and Non-Local Priors (SNLPs) GWAS, that improves over existing methods in two important ways. First, we describe a model that allows for a marker’s gene-parent membership and other characteristics to influence its probability of association with an outcome. Second, we describe a non-local alternative model for differential minor allele rates at each marker, in which the null an
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SHANGGUAN, Hong, Yi LIU, Quan ZHANG, and Zhiguo GUI. "Fuzzy diffusion PET reconstruction algorithm based on anatomical non-local means prior." Journal of Computer Applications 33, no. 9 (2013): 2627–30. http://dx.doi.org/10.3724/sp.j.1087.2013.02627.

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WANG Yi-bin, 王一斌, 尹诗白 YIN Shi-bai, and 吕卓纹 L Zhuo-wen. "Underwater image restoration with adaptive background light estimation and non-local prior." Optics and Precision Engineering 27, no. 2 (2019): 499–510. http://dx.doi.org/10.3788/ope.20192702.0499.

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Johnson, Valen E., and David Rossell. "On the use of non-local prior densities in Bayesian hypothesis tests." Journal of the Royal Statistical Society: Series B (Statistical Methodology) 72, no. 2 (2010): 143–70. http://dx.doi.org/10.1111/j.1467-9868.2009.00730.x.

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Dissertations / Theses on the topic "Non-local prior"

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ARTARIA, ANDREA. "Objective Bayesian Analysis for Differential Gaussian Directed Acyclic Graphs." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2014. http://hdl.handle.net/10281/55327.

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Often we are confronted with heterogeneous multivariate data, i.e., data coming from several categories, and the interest may center on the differential structure of stochastic dependence among the variables between the groups. The focus in this work is on the two groups problem and is faced modeling the system through a Gaussian directed acyclic graph (DAG) couple linked in a fashion to obtain a joint estimation in order to exploit, whenever they exist, similarities between the graphs. The model can be viewed as a set of separate regressions and the proposal consists in assigning a non-local
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Fúquene, Patiño Jairo A. "Finite mixture modeling with non-local priors." Thesis, University of Warwick, 2018. http://wrap.warwick.ac.uk/111373/.

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Choosing the number of mixture components remains a central but elusive challenge. Traditional model selection criteria can be either overly liberal or conservative when enforcing parsimony. They may also result in poorly separated components of limited practical use. In this thesis, the term parsimony refers to selecting a simpler model by enforcing a separation between the models under consideration, and the term sparsity refers to the ability of penalizing overfitted models leading to well-separated components with non-negligible weight, interpretable as distinct subpopulations. Non-local p
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Appia, Vikram VijayanBabu. "Non-local active contours." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/44739.

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This thesis deals with image segmentation problems that arise in various computer vision related fields such as medical imaging, satellite imaging, video surveillance, recognition and robotic vision. More specifically, this thesis deals with a special class of image segmentation technique called Snakes or Active Contour Models. In active contour models, image segmentation is posed as an energy minimization problem, where an objective energy function (based on certain image related features) is defined on the segmenting curve (contour). Typically, a gradient descent energy minimization approach
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Ebrahimi, Kahrizsangi Mehran. "Inverse Problems and Self-similarity in Imaging." Thesis, 2008. http://hdl.handle.net/10012/3838.

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This thesis examines the concept of image self-similarity and provides solutions to various associated inverse problems such as resolution enhancement and missing fractal codes. In general, many real-world inverse problems are ill-posed, mainly because of the lack of existence of a unique solution. The procedure of providing acceptable unique solutions to such problems is known as regularization. The concept of image prior, which has been of crucial importance in image modelling and processing, has also been important in solving inverse problems since it algebraically translates to the regu
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Books on the topic "Non-local prior"

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Kosmin, Paul J., and Ian S. Moyer, eds. Cultures of Resistance in the Hellenistic East. Oxford University PressOxford, 2022. http://dx.doi.org/10.1093/oso/9780192863478.001.0001.

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Abstract This collaborative volume examines revolts and resistance to the successor states formed after Alexander the Great’s conquest of the Persian Empire, as a transregional phenomenon. The editors have assembled an array of specialists in the study of the various regions and cultures of the Hellenistic world ‒ Judea, Egypt, Babylonia, Central Asia, and Asia Minor ‒ in an effort to trace comparisons and connections between episodes and modes of resistance. The volume seeks to unite the currently dominant social-scientific orientation to ancient resistance and revolt with perspectives, often
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Kopstein, Jeffrey S., and Jason Wittenberg. Intimate Violence. Cornell University Press, 2018. http://dx.doi.org/10.7591/cornell/9781501715259.001.0001.

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Why do pogroms occur in some localities and not in others? This book address that age-old question through an examination of a particularly brutal wave of violence that occurred across hundreds of predominantly Polish and Ukrainian communities in the aftermath of the June, 1941 German invasion of the Soviet Union. Exploiting the collapse of state authority, some Poles and Ukrainians viciously attacked their Jewish neighbors. Against explanations that focus on antisemitism or alleged Jewish support for communism, Intimate Violence argues that pogroms were most likely to occur where Jews had sou
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Roddy, Edward, and Michael Doherty. Calcium pyrophosphate crystal deposition (CPPD). Oxford University Press, 2013. http://dx.doi.org/10.1093/med/9780199642489.003.0142.

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Calcium pyrophosphate crystal deposition (CPPD) in articular cartilage is a common age-related phenomenon. Recent important advances in our understanding of the pathophysiology of pyrophosphate metabolism include the identification of a mutation within the ANK gene which associates with familial CPPD, and elucidation of the interleukin-1β‎ (IL-1β‎)-dependent mechanisms by which crystals invoke an inflammatory response. Risk factors for CPPD include age, prior joint damage and osteoarthritis, genetic factors, and occasionally metabolic diseases (hyperparathyroidism, haemochromatosis, hypomagnes
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Jakobsson, Jan. Anaesthesia for day-stay surgery. Edited by Philip M. Hopkins. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199642045.003.0068.

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Day-stay surgery is becoming increasingly common the world over. There are several benefits of avoiding in-hospital care. Early ambulation reduces the risk for thromboembolic events, facilitates wound healing, and avoiding admission reduces the risk for hospital-related infection. Additionally, the risk of neurocognitive side-effects can be avoided by returning the elderly patient to their home environment. Day-stay anaesthesia calls for adequate and structured preoperative assessment and patient evaluation, and the potential risk associated with surgery and anaesthesia should be assessed on a
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Aguilera-Cobos, Lorena, Rebeca Isabel-Gómez, and Juan Antonio Blasco-Amaro. Efectividad de la limitación de la movilidad en la evolución de la pandemia por Covid-19. AETSA Área de Evaluación de Tecnologías Sanitarias de Andalucía, Fundación Progreso y salud. Consejería de Salud y Familias. Junta de Andalucía, 2022. http://dx.doi.org/10.52766/pyui7071.

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Introduction During the Covid-19 pandemic, non-pharmacological interventions (NPIs) aimed to minimise the spread of the virus as much as possible to avoid the most severe cases and the collapse of health systems. These measures included mobility restrictions in several countries, including Spain. Objective To assess the impact of mobility constraints on incidence, transmission, severe cases and mortality in the evolution of the Covid-19 pandemic. These constraints include: • Mandatory home confinement. • - Recommendation to stay at home. • - Perimeter closures for entry and/or exit from establ
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Book chapters on the topic "Non-local prior"

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Kim, Incheol, and Min H. Kim. "Non-local Haze Propagation with an Iso-Depth Prior." In Communications in Computer and Information Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12209-6_11.

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Zhang, Zhichao, Yining Hu, and Limin Luo. "A Cone-Beam CT Reconstruction Algorithm Constrained by Non-local Prior from Sparse-View Data." In Lecture Notes in Electrical Engineering. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91659-0_20.

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Li, Tianyi, Kan Chang, Caiwang Mo, Xueyu Zhang, and Tuanfa Qin. "Single Image Super Resolution Using Local and Non-local Priors." In Advances in Multimedia Information Processing – PCM 2018. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00767-6_25.

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Rossell, David, Donatello Telesca, and Valen E. Johnson. "High-Dimensional Bayesian Classifiers Using Non-Local Priors." In Statistical Models for Data Analysis. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00032-9_35.

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Thiruvenkadam, S., K. Shriram, R. Manjeshwar, and S. Wollenweber. "Robust PET Motion Correction Using Non-local Spatio-temporal Priors." In Lecture Notes in Computer Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24571-3_77.

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Gupta, Mithun Das, Sheshadri Thiruvenkadam, Navneeth Subramanian, and Satish Govind. "Automated Intraventricular Septum Segmentation Using Non-local Spatio-temporal Priors." In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33415-3_84.

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Latha, H. N., and Rajiv R. Sahay. "Image Restoration by Graduated Non-convex Local Adaptive Priors: An Energy Minimization Approach." In Inventive Systems and Control. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1395-1_26.

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Tavasci, Luca, Enrica Vecchi, and Stefano Gandolfi. "Definition of the Local Geoid Undulation Using Non-contemporary GNSS-Levelling Data on Subsidence Area: Application on the Adriatic Coastline." In Communications in Computer and Information Science. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-94426-1_19.

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AbstractThe knowledge of the so-called geoid undulation, which represents the height of the geoid above a reference ellipsoid, is a fundamental step to link ellipsoidal heights measured using satellite systems and orthometric heights. Several geoid models are available at the time both at the national or global scale, which can be used for the purpose. Another way to define the geoid undulation is to perform joint measures with GNSS and spirit levelling over common benchmarks. This requires onerous measurements that is seldom possible to perform due to their cost. In this work, we evaluated th
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Nadeau, Robert, and Menas Kafatos. "Ways Of Knowing: A New Epistemology Of Science." In The Non-Local Universe. Oxford University PressNew York, NY, 1999. http://dx.doi.org/10.1093/oso/9780195132564.003.0005.

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Abstract The most fundamental aspect of the Western intellectual tradition is the assumption that there is a fundamental division between the material and the immaterial world or between the realm of matter and the realm of pure mind or spirit. The metaphysical framework based on this assumption is known as ontological dualism. As the word dual implies, the framework is predicated on an ontology, or a conception of the nature of God or Being, that assumes reality has two distinct and separable dimensions. The concept of Being as continuous, immutable, and having a prior or separate existence f
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Cattani, Gino, and Mariano Mastrogiorgio. "From Trees to Networks." In New Developments in Evolutionary Innovation. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198837091.003.0006.

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Empirical models are very common in evolutionary approaches to economics, strategy, and technological innovation, particularly those models based on large samples of patent data. Patents are legal documents that protect technologies from imitation when there is novelty and non-obviousness with respect to a prior art. Dependence on prior art means that patents cite each other and, by implication, patent databases take the form of large citation networks. Despite this implicit network nature of patent data, most current studies in innovation tend to rely on patent-based measures that exploit inf
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Conference papers on the topic "Non-local prior"

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Katkovnik, Vladimir, and Karen Egiazarian. "Nonlocal image deblurring: Variational formulation with nonlocal collaborative L0-norm prior." In 2009 International Workshop on Local and Non-Local Approximation in Image Processing (LNLA 2009). IEEE, 2009. http://dx.doi.org/10.1109/lnla.2009.5278405.

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Verma, Reema. "Enhancing Underwater Images Through Non-Local Prior-Based Dehazing." In 2023 3rd International Conference on Technological Advancements in Computational Sciences (ICTACS). IEEE, 2023. http://dx.doi.org/10.1109/ictacs59847.2023.10390012.

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Ren, Chunlin, Qingshan Xu, Shikun Zhang, and Jiaqi Yang. "Hierarchical Prior Mining for Non-local Multi-View Stereo." In 2023 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE, 2023. http://dx.doi.org/10.1109/iccv51070.2023.00334.

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Yang, Yuxian, and Jun Zhang. "NPASNet: Embedding Non-local Prior within Arbitrary-Sampling Networks." In 2024 5th International Conference on Computer Vision, Image and Deep Learning (CVIDL). IEEE, 2024. http://dx.doi.org/10.1109/cvidl62147.2024.10603774.

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Wu, Meng, Kai Luo, Jianjun Dang, and Daijin Li. "Underwater image restoration using color correction and non-local prior." In OCEANS 2017 - Aberdeen. IEEE, 2017. http://dx.doi.org/10.1109/oceanse.2017.8084916.

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Lu, Wei, Wei Xu, Zebin Wu, Yang Xu, and Zhihui Wei. "Video Object Detection based on Non-local Prior of Spatiotemporal Context." In 2020 Eighth International Conference on Advanced Cloud and Big Data (CBD). IEEE, 2020. http://dx.doi.org/10.1109/cbd51900.2020.00040.

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Zhang, Yilun, Zongliang Gan, Xiuchang Zhu, and Mingming Cao. "Adaptive video back projection super-resolution method using non-local prior." In 2012 11th International Conference on Signal Processing (ICSP 2012). IEEE, 2012. http://dx.doi.org/10.1109/icosp.2012.6491723.

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Aelterman, Jan, Bart Goossens, Hiep Luong, Jonas De Vylder, Aleksandra Pizurica, and Wilfried Philips. "Combined non-local and multi-resolution sparsity prior in image restoration." In 2012 19th IEEE International Conference on Image Processing (ICIP 2012). IEEE, 2012. http://dx.doi.org/10.1109/icip.2012.6467543.

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Dai, Yuhui, Junkang Zhang, Faming Fang, and Guixu Zhang. "Indoor Depth Recovery Based on Deep Unfolding with Non-Local Prior." In 2023 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE, 2023. http://dx.doi.org/10.1109/iccv51070.2023.01135.

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Ji, Yixing. "Adaptive Non-Local Regression Prior based on Transformer for Image Deblurring." In ICCPR 2023: 2023 12th International Conference on Computing and Pattern Recognition. ACM, 2023. http://dx.doi.org/10.1145/3633637.3633713.

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Reports on the topic "Non-local prior"

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Yoosef-Ghodsi, Ozkan, and Bandstra. PR-244-114501-R01 Review of Compressive Strain Capacity Assessment Methods Final Report. Pipeline Research Council International, Inc. (PRCI), 2013. http://dx.doi.org/10.55274/r0010402.

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Buried pipelines subjected to non-continuous ground movement such as frost heave, thaw settlement, slope instability and seismic movement experience high compressive strains that can cause local buckling (or wrinkling), in which the pipe wall buckles like a thin cylindrical shell in axial compression. In a strain-based design and assessment framework, excessive local buckling deformation that may cause loss of serviceability, or even pressure containment in some cases, is managed by limiting the strain demand below the strain limit. The determination of compressive strain limit is typically pe
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Hoffmann, Bridget, Juliana Dueñas, and Alejandra Goytia. The Effect of Extreme Heat on Economic Growth: Evidence from Latin America. Inter-American Development Bank, 2024. http://dx.doi.org/10.18235/0013231.

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Climate change is projected to increase the frequency and intensity of extremely hot days. We use a panel regression framework at the sub-national (i.e., region) level to identify the effect of extreme heat on economic growth in Latin America accounting for acclimation to the season and to the local climate. Extreme heat has a negative and significant impact on economic growth, and the magnitude of the impact is increasing in the intensity and duration of heat. Our results suggest that the impact of each additional consecutive day of extreme heat is greater than the impact of the prior day. Ex
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Suarez Loor, J., M. Lazo, A. Rigail, E. Adrian, and J. Vera. Processing of thermoplastic elastomers (TPE) by in-situ ground tire rubber (GTR) vulcanization using waste ethylene-vinyl-acetate (wEVA) and dicumyl peroxide (DCP). Universidad de los Andes, 2024. https://doi.org/10.51573/andes.pps39.gs.re.2.

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Tire rubber waste (TRW) is a complex mixture of materials, such as rubbers, steel, textile fibers, carbon black, and other additives. Its polluting capacity is a severe environmental problem, especially in landfills and waste management processes. As a practical solution to mitigate TRW’s environmental impact, thermoplastic elastomers (TPE) commonly reuse the ground tire rubber (GTR). This work presents an in-situ devulcanization of ground tire rubber (DGTR) and re-vulcanization of devulcanized ground tire rubber using dicumyl peroxide (DCP) and waste ethylene-vinyl-acetate (wEVA). The GTR was
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Borrett, Veronica, Melissa Hanham, Gunnar Jeremias, et al. Science and Technology for WMD Compliance Monitoring and Investigations. The United Nations Institute for Disarmament Research, 2020. http://dx.doi.org/10.37559/wmd/20/wmdce11.

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The integration of novel technologies for monitoring and investigating compliance can enhance the effectiveness of regimes related to weapons of mass destruction (WMD). This report looks at the potential role of four novel approaches based on recent technological advances – remote sensing tools; open-source satellite data; open-source trade data; and artificial intelligence (AI) – in monitoring and investigating compliance with WMD treaties. The report consists of short essays from leading experts that introduce particular technologies, discuss their applications in WMD regimes, and consider s
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Bourrier, Mathilde, Michael Deml, and Farnaz Mahdavian. Comparative report of the COVID-19 Pandemic Responses in Norway, Sweden, Germany, Switzerland and the United Kingdom. University of Stavanger, 2022. http://dx.doi.org/10.31265/usps.254.

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The purpose of this report is to compare the risk communication strategies and public health mitigation measures implemented by Germany, Norway, Sweden, Switzerland, and the United Kingdom (UK) in 2020 in response to the COVID-19 pandemic based on publicly available documents. The report compares the country responses both in relation to one another and to the recommendations and guidance of the World Health Organization where available. The comparative report is an output of Work Package 1 from the research project PAN-FIGHT (Fighting pandemics with enhanced risk communication: Messages, comp
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Thunø, Mette, and Jan Ifversen. Global Leadership Teams and Cultural Diversity: Exploring how perceptions of culture influence the dynamics of global teams. Aarhus University, 2018. http://dx.doi.org/10.7146/aul.273.

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In the 21st century, business engagements are becoming increasingly global, and global teams are now an established form of organising work in multinational organisations. As a result, managing cultural diver-sity within a global team has become an essential part of ensuring motivation, creativity, innovation and efficiency in today’s business world.Global teams are typically composed of a diversity of experiences, frames of references, competencies, information and, not least, cultural backgrounds. As such, they hold a unique potential for delivering high performance in terms of innovative an
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Bhushan, Shanti, Greg Burgreen, Wesley Brewer, and Ian Dettwiller. Assessment of neural network augmented Reynolds averaged Navier Stokes turbulence model in extrapolation modes. Engineer Research and Development Center (U.S.), 2025. https://doi.org/10.21079/11681/49702.

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A machine-learned model enhances the accuracy of turbulence transport equations of RANS solver and applied for periodic hill test case. The accuracy is investigated in extrapolation modes. A parametric study is also performed to understand the effect of network hyperparameters on training and model accuracy and to quantify the uncertainty in model accuracy due to the non-deterministic nature of the neural network training. For any network, less than optimal mini-batch size results in overfitting, and larger than optimal reduces accuracy. Data clustering is an efficient approach to prevent the
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