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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Scaling up uncertain predictions to higher levels of organisation tends to underestimate change by James A. Orr, Jeremy J. Piggott, Andrew L. Jackson, Jean‐François Arnoldi

“…In a reductionist approach, we may use predictions at the level of individual system components (e.g. species biomass), and combine them to generate predictions for system‐level properties (e.g. ecosystem function). …”
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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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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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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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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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Super-Resolution Reconstruction From Multiple Defocused Infrared Images of Stationary Scene by Yuxing Mao, Benjiang Zhao, Dongmei Yan, Haiwei Jia

“…Existing SRR algorithms use well-focused images and ignore the value of defocused images generated by the infrared imaging system during focusing. …”
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A Novel Dual-Branch Global and Local Feature Extraction Network for SAR and Optical Image Registration by Xuanran Zhao, Yan Wu, Xin Hu, Zhikang Li, Ming Li

“…Beyond merely extracting local features to generate feature descriptors, more importantly, the network also extracts the global feature to better mine the common structural features between SAR and optical images. …”
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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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Groundbreaking Technologies and the Biocontrol of Fungal Vascular Plant Pathogens by Carmen Gómez-Lama Cabanás, Jesús Mercado-Blanco

“…It also briefly summarizes traditional biocontrol approaches to manage them, addressing their limitations and emphasizing the need to develop more sustainable and precise solutions. Powerful tools such as next-generation sequencing, meta-omics, and microbiome engineering allow for the targeted manipulation of microbial communities to enhance pathogen suppression. …”
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The variations in the spontaneous combustion characteristics of coal during primary and secondary oxidation under varying particle sizes by Peitao Zhu, Zhenya Zhang, Zihao Chai, Yaxian Yu

“…The results indicate that smaller particle size leads to higher rates of O2 consumption, CO generation, and heat release intensity in coal samples; The O2 consumption rate, CO generation rate, and heat release intensity during the secondary oxidation of coal samples are relatively high in the initial stage of the experiment. …”
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A study on the effect of spatially variation rainfall on urban flooding by Jinping Zhang, Ruyu Wang, Xuechun Li, Zhiwei Li, Yao Wang, Xi Zhang

“…To overcome the limitations of traditional urban stormwater flooding simulations, which often neglect the spatial variability of rainfall distribution, a spatially variation rainfall pattern generation model based on actual rainfall data were developed. …”
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We make viewpoints in different ways: the use of stance adverbials across academic levels and disciplines by Chunxiao Yue

“…The commitments of this study are: To generate a better understanding of SAs usage in academic discourse, to evoke register-specific awareness in academic English classrooms, and to elicit the investigation of more stance features in other discursive registers.…”
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Issues of Designing Effective Educational Programs in the Field of “Applied Informatics” in the Conditions of Innovative Development by Yu. F. Telnov, M. S. Gasparian, M. A. Filyuk

“…Therefore, when developing and updating educational programs, higher education institutions will have to clarify the composition of professional competencies that must meet both the needs for effective performance of generalized labor functions and labor functions fixed in professional standards, and many educational parameters fixed in the regulatory framework of Russian higher education. …”
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University proceedings. Volga region. Technical sciences by A.A. Ignatiev, V.A. Dobryakov, V.A. Revyakin

“…Studies performed at the Yuri Gagarin State Technical University showed that it is advisable to assess the dynamic quality of the machines by the DS stability margin determined as a result of special processing of vibration measurement information and identification of the DS oscillation autocorrelation function (ACF). The purpose of the work is to algorithmize the process of processing vibration measuring information when generating estimates of the dynamic quality of the machine by the stability margin of the dynamic system in order to identify the initial phase of catastrophic wear of the cutter. …”

Liver developmental microenvironment promotes iHSC generation from human iPSCs by Di Ye, Min Ding, Yu-Mu Song, Heng-Xing Meng, Wen-Hao Chen, Jian-Yun Ge, Yun-Wen Zheng

“…The generation of highly functional iHSCs may make it more feasible to accurately simulate the liver-specific multicellular microenvironments, thus providing new perspectives on the modeling of physiological regenerative processes and disease progression in the liver, as well as useful tools for creating of new therapeutic strategies.…”
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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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Microservices-Driven Automation in Full-Stack Development: Bridging Efficiency and Innovation With FSMicroGenerator by Samira Khalfaoui, Hafida Khalfaoui, Abdellah Azmani

“…FSMicroGenerator also stands out for its ability to create a catalog of ready-to-use functional blocks, enabling their reuse and integration into other solutions. …”
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