Degravitation and the Cascading DGP Model by Fulvio Sbisà

“…We consider the 6D Cascading DGP model, a braneworld model which is a promising candidate to realize the phenomenon of the degravitation of vacuum energy. …”
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Modification of the laws of gravity in the DGP model by the presence of a second DGP brane by Max Warkentin

“…Abstract We investigate how the laws of gravity change in the DGP model, if we add a second, parallel 3-brane, endowed with a localized gravitational curvature term. …”
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Optimizing cervical cancer classification using transfer learning with deep gaussian processes and support vector machines by Emmanuel Ahishakiye, Fredrick Kanobe

“…These algorithms are (1) an optimized support vector machine (SVM), and (2) a deep Gaussian Process (DGP) model. The SVM model proposed uses an optimized radial basis kernel while the DGP model uses a hybrid kernel of periodic and local periodic kernel. …”
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Dependent-Gaussian-Process-Based Learning of Joint Torques Using Wearable Smart Shoes for Exoskeleton by Jiantao Yang, Yuehong Yin

“…The statistical nature of the proposed DGP model and the composite kernel functions offer superior flexibility for time-varying gait-pattern learning, and enable accurate joint-torque estimations. …”
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DGP black holes on the brane by Radouane Gannouji

“…Abstract We find an exact solution on the brane for a static black hole in the DGP model. In the appropriate limit we recover the two known solutions, the Schwarzschild and the Reissner–Nordström solutions with tidal charge. …”
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MALAT1: A Pivotal lncRNA in the Phenotypic Switch of Gastric Smooth Muscle Cells via the Targeting of the miR-449a/DLL1 Axis in Diabetic Gastroparesis by Yanjuan Wang, Yan Wang, Boqian Zhu, Ying Zhu, Ya Jiang, Wenjie Xiong, Lin Lin, Yaoyao Gong

“…We show that MALAT1 expression was upregulated in the gastric tissues of DGP model mice, the adjacent healthy tissues collected from diabetic gastric cancer patients with DGP symptoms, and in HGSMCs cultured under HG conditions. …”
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The impact of the presence of autoregressive conditional heteroscedasticity (ARCH) effects on spurious regressions by Nixon S. Chekenya

“…Specifically, my analysis of finite sample behavior of the t-ratio in a spurious regression framework where ARCH effects are included in a Data Generating Process (DGP) model and Monte Carlo experiments show that large ARCH effects somehow weaken the degree of spuriosity. …”
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The impact of the presence of autoregressive conditional heteroscedasticity (ARCH) effects on spurious regressions by Nixon S. Chekenya, Canicio Dzingirai

“…Specifically, our analysis of finite sample behavior of the t-ratio in a spurious regression framework where ARCH effects are included in a Data Generating Process (DGP) model and Monte Carlo experiments show that large ARCH effects somehow weaken the degree of spuriosity. …”
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Astronomical Constraints on Some Long-Range Models of Modified Gravity by Lorenzo Iorio

“…Less neat is the situation for the DGP model. Only the general relativistic Lense-Thirring effect, not included, as the other exotic models considered here, by Pitjeva in the EPM force models, passes such a test.…”
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Application of higher dimensional theories to cosmology by Goo, Joseph Wei Zhen

“…The thesis is divided into five parts, covering electroweak theory, supersymmtry, string theory, DGP model, and conclusion.…”
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Conditional Deep Gaussian Processes: Multi-Fidelity Kernel Learning by Chi-Ken Lu, Patrick Shafto

“…We propose the conditional DGP model in which the latent GPs are directly supported by the fixed lower fidelity data. …”
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The Casimir effect in the presence of infrared transparency by Max Warkentin

“…To address this problem, we study a model, where such a phenomenon naturally arises: the DGP model with two parallel 3-branes, each endowed with a localized curvature term. …”
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A Deep Gaussian Process-Based Flight Trajectory Prediction Approach and Its Application on Conflict Detection by Zhengmao Chen, Dongyue Guo, Yi Lin

“…Thanks to the intrinsic mechanism of the GP regression, the DGP model has the ability of predicting both the deterministic nominal flight trajectory (NFT) and its confidence interval (CI), denoting by the mean and standard deviation of the prediction sequence, respectively. …”
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Implicit posterior variational inference for deep Gaussian processes by Jaillet, Patrick

“…A multi-layer deep Gaussian process (DGP) model is a hierarchical composition of GP models with a greater expressive power. …”
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Induced higher-derivative massive gravity on a 2-brane in 4D Minkowski space by D. Bazeia, F.A. Brito, F.G. Costa

“…We also find the Pauli–Fierz mass term added to the new massive gravity in three dimensions and recover the low-dimensional DGP model.…”
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Antenna Optimization Design Based on Deep Gaussian Process Model by Xin-Yu Zhang, Yu-Bo Tian, Xie Zheng

“…In order to solve this problem, this study constructs a deep GP (DGP) model by using the structural form of convolutional neural network (CNN) and combining it with GP. …”
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Atractylodes chinensis volatile oil up-regulated IGF-1 to improve diabetic gastroparesis in rats by Hongzeng Li, Yitong Wang, Yuxin Tian, Feiyue Tian, Zhiyang Xing, Yunfei Wang, Meixing Yan, Yanling Gong

“…This study aims to explore the effect of Atractylodes chinensis volatile oil (ACVO) on DGP rats.Materials and Methods: The rats were injected with STZ combined with a high-sugar and high-fat diet in an irregular manner to establish the DGP model. ACVO at different doses (9.11 mg/kg, 18.23 mg/kg, and 36.45 mg/kg)  were given by intragastric administration. …”
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Prototype biodiversity digital twin: crop wild relatives genetic resources for food security by Desalegn Chala, Erik Kusch, Claus Weiland, Carrie Andrew, Jonas Grieb, Tuomas Rossi, Tomas Martinovic, Dag Endresen

“…Here, we introduce a prototype digital twin (pDT) to aid in searching and utilising CWR genetic resources. Using the MoDGP (Modelling the Germplasm of Interest) tool, the pDT enables mapping geographic areas where stress-tolerant CWR populations can be found. …”
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Distributed Gaussian Processes With Uncertain Inputs by Peter L. Green

“…Therefore, the paper intends to provide a baseline and motivation for future work in applying DGP models to problems with uncertain inputs.…”
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Compact Binary Merger Rate with Modified Gravity in Dark Matter Spikes by Saeed Fakhry, Sara Gholamhoseinian, Marzieh Farhang

“…When compared to current observational constraints on PBH abundance, the mass ranges allowed by Hu–Sawicki f ( R ) models are found to be wider than those allowed by nDGP models, for given merger rates. The results are highly dependent on the choice of SMBH mass function, with the Vika and Shankar mass functions predicting lower abundances. …”
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