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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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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Enhancing the secrecy of a cryptographic key generated using synchronized artificial neural networks1 by M. L. Radziukevich, V. F. Golikov

“…To solve the problem of increasing the    confidentiality of the generated shared secret, if it is used as a cryptographic key, it is proposed to use the  mixing a certain number of results of individual synchronizations (convolution). …”
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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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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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Meromorphic functions sharing the zeros of lower degree symmetric polynomials in weighted wider sense by J. Banerjee, A. Banerjee

Subjects: “…meromorphic functions…”
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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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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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Developing generative AI functionalities in a social LMS by Mengyuan Zhao, Puja Kumari, Eashwar Madhavan Perumal, Zhen Hou

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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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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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Joint Cognition: Thought Contagion and the Consequences of Cooperation when Sharing the Task of Random Sequence Generation. by John Nicholas Towse, Andrea Sarah Towse, Satoru Saito, Yukio Maehara, Akira Miyake

“…Generating random number sequences is a popular psychological task often used to measure executive functioning. …”
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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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Are we there yet? Evaluation of AI-generated metadata for online information resources by Vyacheslav Zavalin, Oksana L. Zavalina

“…This experimental study assessed the quality of AI-generated descriptive metadata in 4 most widely used standards: Dublin core, MODS, MARC, and BIBFRAME. …”
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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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Advanced microfluidic strategies for core-shell nanoparticles: the next-generation of polymeric and lipid-based drug nanocarriers by Giuseppe Nunziata, Alessandro Borroni, Filippo Rossi

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Subjective Evaluation of Generative AI-Driven Dialogues in Paired Dyadic and Topic-Sharing Triadic Interaction Structures by Kaori Abe, Changqin Quan, Sheng Cao, Zhiwei Luo

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Blockchain-Based Modified AES with Chaotic Random Key Generation for Secured E-Medical Data Sharing by Vinothkumar.M, R. Saravana Ram

“…Though traditional methods have used algorithms based on these concepts for secured EMD sharing, they lacked with regard for privacy and security. …”
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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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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>Background</h4>In medical practice, diagnostic hypotheses are often made by physicians in the first moments of contact with patients; sometimes even before they report their symptoms. We propose that generation of diagnostic hypotheses in this context is the result of cognitive processes subserved by brain mechanisms that are similar to those involved in naming objects or concepts in everyday life.…”
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