On Channel Transforms to Enhance Reciprocity and Quantization in Physical-Layer Secret Key Generation by Ghalib Hussain, Syed Junaid Nawaz, Shurjeel Wyne, Mohammad N. Patwary

“…Within the physical layer security (PLS) paradigm, the secret key generation (SKG) technique exploits the wireless channel’s randomness to generate symmetric secret keys for message encryption/decryption by legitimate communication nodes. …”
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How do people react to political bias in generative artificial intelligence (AI)? by Uwe Messer

“…Participants who perceived alignment were more likely to grant GAI access to sensitive smartphone functions and to endorse the use in critical domains (e.g., loan approval; social media moderation). …”
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Generation and transformation of α-oxy carbene intermediates enabled by copper-catalyzed carbonylation by Yang Yuan, Xiao-Feng Wu

“…With the continuous development of carbonylation and the in-depth study of the mechanism, more mechanistic details and variations have been revealed, which provide more possibilities for organic synthesis. …”
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Simulation study on global migration of locally generated impurity in JT-60U by Ryuichi Sano, Tomohide Nakano, Shohei Yamoto

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Chronic Gestational Inflammation: Transfer of Maternal Adaptation over Two Generations of Progeny by R. C. M. Adams, C. Smith

“…Given the significant contribution of noncommunicable diseases—which are characterised by chronic inflammation—to population mortality, the potential for chronic maternal inflammation mediating foetal programming is a growing concern. The extent of generational transfer in terms of immune functionality and leukocyte glucocorticoid sensitivity was investigated over two generations of offspring (F1 and F2) in a model of chronic LPS-induced maternal inflammation in C57/BL/6 mice. …”
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Identification and characterization of microRNAs in normal equine tissues by Next Generation Sequencing. by Myung-Chul Kim, Seung-Woo Lee, Doug-Young Ryu, Feng-Ji Cui, Jong Bhak, Yongbaek Kim

“…Characterization of miRNAs in normal tissues is an important step to investigate the functions of miRNAs in various physiological and pathological conditions. …”
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Consumer Responses to Generative AI Chatbots Versus Search Engines for Product Evaluation by Soyoung Kim, Randi Priluck

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A Multimodal Framework Embedding Retrieval-Augmented Generation with MLLMs for Eurobarometer Data by George Papageorgiou, Vangelis Sarlis, Manolis Maragoudakis, Christos Tjortjis

“…The integration of LLMs facilitates advanced synthesis of insights, providing a more comprehensive understanding of public opinion trends. …”
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Dynamic experiences generated by sensory features through smart material driven design by Marta González-Colominas

“…They characterize the physical world and generate a continuous flow of sensory interactions. …”
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Puma algorithm for environmental emissions and generation costs minimization dispatch in power systems by Badr Al Faiya, Ghareeb Moustafa, Hashim Alnami, Ahmed R. Ginidi, Abdullah M. Shaheen

“…Also, efforts are directed toward harmonizing economic objectives with environmental conservation through accurate modelling of the Economic and Environmental Dispatch (EED) problem. This study adopts a more complex approach by formulating the fuel cost and produced emission objectives as cubic polynomial functions. …”
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CRYPTO-RESISTANT METHODS AND RANDOM NUMBER GENERATORS IN INTERNET OF THINGS (IOT) DEVICES by Petro Klimushyn, Tetiana Solianyk, Oleksandr Mozhaiev, Yurii Gnusov, Oleksandr Manzhai, Vitaliy Svitlychny

“…Research methods: method of structural and functional analysis of RNG and IoT devices, cryptographic methods of information protection, methods of random sequence generation, method of stability analysis of systems, methods of construction of autonomous Boolean networks and Boolean chaos analysis, methods of quality assessment of random sequences. …”
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Measuring overall functional diversity by aggregating its multiple facets: Functional richness, biomass evenness, trait evenness and dispersion by Laurie Anne Wojcik, Ursula Gaedke, Ellen vanVelzen, Toni Klauschies

“…We compared K to other, more classic metrics measuring fewer facets of functional diversity by calculating all these indices for randomly and non‐randomly generated communities. …”
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Predicting contrast sensitivity functions with digital twins by Yukai Zhao, Luis Andres Lesmes, Michael Dorr, Zhong-Lin Lu

“…Abstract We developed and validated digital twins (DTs) for contrast sensitivity function (CSF) across 12 prediction tasks using a data-driven, generative model approach based on a hierarchical Bayesian model (HBM). …”
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The information gain of explicitly provided over self-generated contextual knowledge for behavioral control. by Lukas Magnaguagno, Stephan Zahno, Ernst-Joachim Hossner

“…This interaction implies that future research on explicit provision vs. self-generation of contextual knowledge should pursue a more differential approach, thereby also considering gender and age as well as personality factors.…”
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Generation of Spatial Structure of Urban Parks Based on Spatial Analysis of Agent-Based Models by Huizi KONG, Tianming LIU, Jiajie LIAO, Liu CUI

“…Specifically, the simulation demonstrates how different functional areas and their respective uses can be distributed across the designed site, allowing for a more informed and responsive design process. …”
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Comparative Study of ASE-ASE and ASE-Laser Based Quantum Random Number Generators by Shreyam Maity, Asish Prosad, Harinee Natarajan, V. Balaswamy, Varun Raghunathan

“…We develop, for the first time to the best of out knowledge, closed-form analytical expressions to describe the signal variance as a function of realistic, non-ideal fiber-optic optical components, the signal correlations as a function of digitizer sampling rate, and minimum entropy as a function of signal variance. …”
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Contour wavelet diffusion – a fast and high-quality facial expression generation model by Chenwei Xu, Yuntao Zou

“…The diffusion model can generate high-quality images for clearer and more discriminative faces, but its training and inference time is often prolonged, hampering practical application. …”
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Application of Generative Adversarial Networks Based on Global and Local Feature Information in Hippocampus Segmentation by WEI Zhihong, KONG Xudong, KONG Yan, YAN Shiju, DING Yang, WEI Xianding, KONG Dong, YANG Bo

“…The experimental results show that proposed method based on GLGAN facilitates intensive evaluation of the hippocampus, and drives the discriminator to push the mask value provided by the generator to a more realistic distribution, thereby enhancing hippocampus segmentation accuracy. …”
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Next-generation immunotherapeutic approaches for blood cancers: Exploring the efficacy of CAR-T and cancer vaccines by Kiavash Hushmandi, Abbas Ali Imani Fooladi, Russel J. Reiter, Najma Farahani, Liping Liang, Amir Reza Aref, Noushin Nabavi, Mina Alimohammadi, Le Liu, Gautam Sethi

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Cryptanalysis on Two Kinds of Number Theoretic Pseudo-Random Generators Using Coppersmith Method by Ran Zhang, Jingguo Bi, Lixiang Li, Haipeng Peng

“…More precisely, we prove that when the mapping function of LCG and the quadratic generator is unknown, if during each iteration, generators only output the most significant bits of vi, one can also recover the seed of PRNG when enough consecutive or nonconsecutive outputs are obtained. …”
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