Searching for Functional Simplicity of Stormflow Generation by Hamed Sharif, Ali A. Ameli

“…Abstract Our study proposes a data‐driven framework that identifies the level of functional simplicity of catchment's stormflow generation during dormant/growing seasons, using daily scale observations of streamflow and precipitation. …”
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Analytical Characterization of Self-Similarity in <i>k</i>-Cullen Sequences Through Generating Functions and Fibonacci Scaling by Hakan Akkuş, Bahar Kuloğlu, Engin Özkan

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Generation of induced alveolar assembloids with functional alveolar-like macrophages by Ji Su Kang, Youngsun Lee, Youngsun Lee, Dayeon Gil, Min Jung Kim, Connor Wood, Vincent Delorme, Jeong Mi Lee, Kyong-Cheol Ko, Jung-Hyun Kim, Mi-Ok Lee

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Time series generation model based on multi-discriminator generative adversarial network by Yanhui LU, Han LIU, Hang LI, Guangxu ZHU

“…Aiming at the problems of expensive collection cost and missing data due to the privacy and continuity of time series data set, a multi-discriminator generative adversarial network model based on recurrent neural network was proposed, which could synthesize time series dataset that were approximately distributed with real data of a small scale dataset.Multi-discriminator included four discriminators in time domain, frequency domain, time-frequency domain and autocorrelation.Different discriminators could effectively recognize the features of the time series in different domains.In the experiment, the convergence of loss function, principal component analysis and error analysis were performed to evaluate the performance of the model from qualitative and quantitative perspectives.The experimental results show that the proposed model has better performance than other reference models.…”
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High survivorship and excellent functional outcome in third‐generation patellofemoral arthroplasty by Mustafa Hariri, Hannah Schwab, Kevin‐Arno Koch, Paul Mick, Timo Nees, Johannes Weishorn, Tilman Walker, Tobias Reiner

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Generation of Stochastic Daily Precipitation for China Based on Empirical Orthogonal Function Analysis by Yang Yifei, Fang Weihua, Zheng Jinli, Fu Jingxuan

“…To address this gap, we aimed to explore a method for generating daily stochastic precipitation events set at a 0.1° grid scale nationwide based on empirical orthogonal function (EOF) analysis and probabilistic fitting of principal component coefficients. …”
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Rumor Spreading of an SIHR Model in Heterogeneous Networks Based on Probability Generating Function by Jinxian Li, Yanping Hu, Zhen Jin

“…Using the probability generating function method and pair approximation method, the current research obtains nonlinear differential equations to describe the dynamics of rumor spreading. …”
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Reservoir Stochastic Simulation Based on Octave Convolution and Multistage Generative Adversarial Network by Xuechao Wu, Wenyao Fan, Shijie Peng, Bing Qin, Qing Wang, Mingjie Li, Yang Li

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Generation of Fractal Objects with Iterated Function System on the Developments of Trellis Ornament Designs by Kosala Dwidja Purnomo, Siti Fatimah, Bagus Juliyanto

“…In this study, the generation of fractal objects was carried out using the Iterated Function Systems (IFS) method. …”
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Effects of Interfacial Charges On Doped and Undoped HFOX Stack Layer with Tin Metal Gate Electrode For Nano-Scaled CMOS Generation by S. Chatterjee, Y. Kuo

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Functional Orientation and Development Prospect of Natural Gas Power Generation in New Power System by Guanjun FU, Fuqiang ZHANG, Peng XIA, Junshu FENG, Jinfang ZHANG

“…It analyzes the future development scale and layout of natural gas power generation under the carbon neutrality goal and conducts sensitivity analysis on the uncertainty factors affecting the future scale of natural gas power generation. …”
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Multi-Architecture Halide Template-Driven Automatic Library Function Generation for Simulink Models by Qi Li, Shanwen Wu, Masato Edahiro

“…This paper presents a templated approach for automatic generation of optimized library functions using Halide as a replacement for the functions generated by Simulink. …”
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Generation of realistic input parameters for simulating atmospheric point-spread functions at astronomical observatories by Claire-Alice Hébert, Joshua E. Meyers, My H. Do, Patricia R. Burchat, LSST Dark Energy Science Collaboration

“…We make quantitative predictions for two-point correlation functions (2PCF) that are used in analyses of cosmic shear. …”
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Image super-resolution reconstruction based on multi-scale dual-attention by Hong-an Li, Diao Wang, Jing Zhang, Zhanli Li, Tian Ma

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Integrating surveying, photogrammetric, and remote sensing data to generate large-scale maps by Przemysław Klapa, Pelagia Gawronek, Tadeusz Gargula, Agnieszka Sokołowska, Kamil Sajdak

“…Information acquired this way, supplemented with spatial data from official (state-controlled) surveying and cartographic resources, paves the way for generating large-scale maps, including the master map, in line with applicable legal and technical requirements. …”
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Superfield twist-2 operators in N $$ \mathcal{N} $$ = 1 SCFTs and their renormalization-group improved generating functional in N $$ \mathcal{N} $$ = 1 SYM theory by Giacomo Santoni, Francesco Scardino

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Scale symmetry breaking and generation of mass at quantum critical points by Charlie Cresswell-Hogg, Daniel F. Litim

“…Exactly at the endpoint, scale symmetry is broken spontaneously, leading to the generation of fermion mass. …”
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Whole brain functional connectivity: Insights from next generation neural mass modelling incorporating electrical synapses. by Michael Forrester, Sammy Petros, Oliver Cattell, Yi Ming Lai, Reuben D O'Dea, Stamatios Sotiropoulos, Stephen Coombes

“…Here we demonstrate the ability of this new modelling framework, when combined with data from the Human Connectome Project, to generate patterns of functional connectivity (FC) of the type observed in both magnetoencephalography and functional magnetic resonance neuroimaging. …”
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Towards a New Generation of Impulse‐Response Functions for Integrated Earth System Understanding and Climate Change Attribution by Alexander J. Winkler, Carlos A. Sierra

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Improving the core functions of primary care in a Ugandan rural district by Innocent K. Besigye, Robert J. Mash

“…Community dialogues as form of community engagement were selected as an intervention to improve the core primary care functions. Conclusion: The PCAT can generate findings to guide the development of interventions at the facility and district level to potentially improve the core functions of primary care. …”
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