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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PARTICULARITIES OF ELECTRIC GENERATOR FUNCTIONING AT SUPPLYING OF GREENSHOUSE by Anisimov V.K.

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New insights into the generation and function of megakaryocytes in health and disease by Changhong Du, Jun Chen, Junping Wang

“…Furthermore, although been well known as a component of the BM niche maintaining hematopoietic stem cells (HSCs) during homeostasis, the newly-identified properties of MKs further make them a key supporter for stressed or diseased HSCs during myeloablative injury, aging and hematopoietic malignancy. Therefore, the generation and function of MKs are more diverse than we previously thought. …”
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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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Generative Inverse Design of Metamaterials with Functional Responses by Interpretable Learning by Wei (Wayne) Chen, Rachel Sun, Doksoo Lee, Carlos M. Portela, Wei Chen

“…Unlike data‐intensive and noninterpretable deep‐learning‐based methods, this work proposes the random‐forest‐based interpretable generative inverse design (RIGID), a single‐shot inverse design method for fast generation of metamaterials with on‐demand functional behaviors. …”
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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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Evaluation of the Impact of Government Audit on Quality Management, Based on Neutroalgebra Generated by the PROSPECTOR Function by Alexander Santos Silva Bernardo, Jeri Gloria Ramón Ruffner, David Sánchez Cruz, Patricia Padilla-Vento

“…The present study focuses on the evaluation of the impact of government audit on quality management, using a novel approach based on the neutralalgebra generated by the PROSPECTOR function. The central question of the research lies in the need to improve the effectiveness of government audits to ensure more efficient and transparent quality management in public institutions. …”
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How doctors generate diagnostic hypotheses: a study of radiological diagnosis with functional magnetic resonance imaging. by Marcio Melo, Daniel J Scarpin, Edson Amaro, Rodrigo B D Passos, João R Sato, Karl J Friston, Cathy J Price

“…<h4>Methodology and principal findings</h4>To test this proposal we developed an experimental paradigm with functional magnetic resonance imaging (fMRI) using radiological diagnosis as a model. …”
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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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Framework and Evolution of Next Generation Union Video Service by Xinhai Hua, Yaodong Liu, Huoshun Xu

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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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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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Regulatory Function of Polyamine Oxidase-Generated Hydrogen Peroxide in Ethylene-Induced Stomatal Closure in Arabidopsis thaliana by Zhi-hui HOU, Guo-hua LIU, Li-xia HOU, Lan-xiang WANG, Xin LIU

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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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