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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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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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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Quantum commitments from structured one-way quantum state generators, and more by Shujiao Cao, Rui Xue

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

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Licence to Simulate: When Agent-Based Models Are More Fiction than Function by Francesco Moroni, Mosè Gallo, Giovanni Romagnoli, Francesco Zammori

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scATAC-seq generates more accurate and complete regulatory maps than bulk ATAC-seq by E. Ravza Gur, Jim R. Hughes

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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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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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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

“…Nevertheless, diagnosing lesions was cognitively more demanding and associated with more activation in higher order cortical areas. …”
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Large-Scale Periodic Gust Generation and Spectral Analysis Approach for Characterization and Evaluation by Berk Zaloglu, Oksan Cetiner

“… Generating a periodic continuous gust in a controlled manner and at sufficiently large scales for the gust encounter studies on MAV applications is a challenge. …”
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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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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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Multi-Scale Feature Fusion GANomaly with Dilated Neighborhood Attention for Oil and Gas Pipeline Sound Anomaly Detection by Yizhuo Zhang, Zhengfeng Sun, Shen Shi, Huiling Yu

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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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Framework and Evolution of Next Generation Union Video Service by Xinhai Hua, Yaodong Liu, Huoshun Xu

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