Applicability and Design Considerations of Chaotic and Quantum Entropy Sources for Random Number Generation in IoT Devices by Wieslaw Marszalek, Michał Melosik, Mariusz Naumowicz, Przemysław Głowacki

“…The results of the conducted analysis serve as a guide for selecting the type of generator that is more suited for a specific IoT solution, depending on the functional profile of the target application and the amount of random data required in the cryptographic process. …”
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Three-Dimensional Printed Biomimetic Elastomeric Scaffolds: Experimental Study of Surface Roughness and Pore Generation by Daniele Marazzi, Federica Trovalusci, Paolo Di Nardo, Felicia Carotenuto

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LatentPINNs: Generative physics-informed neural networks via a latent representation learning by Mohammad H. Taufik, Tariq Alkhalifah

“…Motivated by the recent progress on generative models, we promote using latent diffusion models to learn compressed latent representations of the distribution of PDE parameters as they act as input parameters for NN functional solutions. …”
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An Adaptive 24 GHz PSO-Based Optimized VCO in Next-Generation Wireless Sensor Networks by Khizra Tariq, Unal Aras, Tahesin Samira Delwar, Muhammad Nadeem Ali, Yangwon Lee, Jee-Youl Ryu, Byung-Seo Kim

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Photovoltaic Power Generation Forecasting Based on Secondary Data Decomposition and Hybrid Deep Learning Model by Liwei Zhang, Lisang Liu, Wenwei Chen, Zhihui Lin, Dongwei He, Jian Chen

“…Accurate forecasting of photovoltaic (PV) power generation is crucial for optimizing grid operation and ensuring a reliable power supply. …”
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Highly selective generation of singlet oxygen via peroxymonosulfate activation by Mn–N supported biochar by Huan Wu, Fangfang Ji, Bin Zhou, Shikun Gao, Zhe Zhang

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Generatively optimised compact 3-DoF spherical parallel manipulator with tightly integrated actuators by Kartikeya Walia, William Navaraj, Philip Breedon

“…Future work will extend this design to higher payload systems using metal components, enhancing durability and functionality for industrial applications.…”
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RSGPT: a generative transformer model for retrosynthesis planning pre-trained on ten billion datapoints by Yafeng Deng, Xinda Zhao, Hanyu Sun, Yu Chen, Xiaorui Wang, Xi Xue, Liangning Li, Jianfei Song, Chang-Yu Hsieh, Tingjun Hou, Xiandao Pan, Taghrid Saad Alomar, Xiangyang Ji, Xiaojian Wang

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High‐Performance MXene Hydrogel for Self‐Propelled Marangoni Swimmers and Water‐Enabled Electricity Generator by Jiayi Zhou, Yan Zhang, Ming Zhang, Dongye Yang, Wenwei Huang, Ao Zheng, Lingyan Cao

“…Abstract Developing multifunctional materials that integrate self‐propulsion and self‐power generation is a significant challenge. This study introduces a high‐performance MXene‐chitosan composite hydrogel (CM) that successfully combines these functionalities. …”
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Plasma processed Zn fortification: The next generation sustainable technology for the improvement of agronomic traits of paddy by Mamunur Rashid, M.R. Talukder

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Force Generation and Muscle Activation: A Literature Review of Lower Limb Mechanics in Softball Batting by Muhammad Fahrezi Harahap, Zukhro Bahadirovna Khamraeva, Gorgan Carmina Mihaela

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Comprehensive Style Transfer for Facial Images Using Enhanced Feature Attribution in Generative Adversarial Nets by Yongseon Yoo, Seonggyu Kim, Jong-Min Lee

“…Our method introduces two key innovations for enhanced feature attribution: 1) dual Gram matrix-based loss functions (G1 and G2), which operate at different stages of the generation process to capture richer style information by establishing deeper correlations between feature maps, and 2) a balanced training objective that integrates perceptual loss with cycle-consistency loss to maintain content fidelity during style transfer. …”
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Effect of Lower-Level Relaxation on the Pulse Generation Performance of Q-Switched Nd:YAG Laser by Fuqiang Ma, Shiyu Wang, Bingbin Li, Peijin Shang, Jinyou Li, Zheyuan Li

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Crystal Composition Transformer: Self‐Learning Neural Language Model for Generative and Tinkering Design of Materials by Lai Wei, Qinyang Li, Yuqi Song, Stanislav Stefanov, Rongzhi Dong, Nihang Fu, Edirisuriya M. D. Siriwardane, Fanglin Chen, Jianjun Hu

“…These models have demonstrated superior performance in the generation, structure classification, and functional predictions for proteins and molecules with learned representations. …”
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Muscle Architecture of Leg Muscles: Functional and Clinical Significance by Gurpreet Kaur, Rekha Lalwani, Manal M. Khan, Sunita A Athavale

“…Architectural properties of the muscles are the prime predictors of functional attributes and force-generating capacity of the muscles. …”
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Group of Homonyms “Kolymka” (Word-Formation and Functional Aspects) by A. I. Semenov

“…It will help to more accurately distinguish between local speech phenomena and the properties of the author’s manner of generating speech (for example, in the field of occasional word formation), as well as see reflection in the nominations various features of the perception of the region (in this case, Kolyma).…”
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EUROPEAN CROSS-BORDER ASSOCIATIONS: ON THE SOCIAL FUNCTION OF LAW by Justyna Dąbrowska

“…The goal of this initiative is to facilitate the cross-border activities of non-profit associations in the European Union, with the aim of improving the operation of the internal market by removing legal and administrative barriers and levelling the playing field for non-profit associations which operate or wish to operate in more than one Member State, thereby promoting the role that non-profit associations play in generating economic and social value in the EU. …”
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Clinical and functional remission assessment in patients with recurrent depression by N. N. Petrova

“…The anxious variant of incomplete remission predominated, suggesting that it is advisable to choose anxiolytic antidepressants for maintenance therapy. New-generation antidepressant therapy is more frequently associated with complete remission. …”
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Functional analysis of Leishmania cyclopropane fatty acid synthetase. by Samuel O Oyola, Krystal J Evans, Terry K Smith, Barbara A Smith, James D Hilley, Jeremy C Mottram, Paul M Kaye, Deborah F Smith

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PIABC: Point Spread Function Interpolative Aberration Correction by Chanhyeong Cho, Chanyoung Kim, Sanghoon Sull

“…These PSFs are then encoded into a latent space to enhance their features and used to generate refined PSFs via similarity-weighted interpolation at each target position. …”
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