Generative Image Steganography via Encoding Pose Keypoints by Yi Cao, Wentao Ge, Chengsheng Yuan, Quan Wang

“…Existing generative image steganography methods typically encode secret information into latent vectors, which are transformed into the entangled features of generated images. …”
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Intelligent Robots, Cyborgs, Genetically Enhanced Individuals, Chimeras: the Future and the Challenges of Law by I. A. Filipova

“…The author presents arguments substantiating the need to develop special legal regulation in relation to new types of entities, the appearance of which becomes an inevitable result of the mentioned technologies’ development.Scientific novelty: consists, first, in a comprehensive study of the development of interconnected groups of digital and biotechnologies, taking into account their increasing convergence; and, second, in the formulation of legal problems that need to be resolved due to the potential emergence of new types of entities with cognitive functions and capable of having a targeted intellectual impact on the environment and legal entities.Practical significance: it is present in the answers given to the formulated legal questions, which contain suggestions and recommendations on the necessary adjustment of legal regulation and focus the attention of legal scholars on the problems arising from the pace and vectors of scienceconsuming technologies’ development.…”
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3D reconstruction of toys based on adaptive scaled neural radiation field by Jiajun Zou, Shaojiang Liu, Feng Wang, Weichuan Ni, Shitong Ye

“…Finally, the conditional diffusion model is deeply integrated with NeRF, and high-dimensional conditional vectors are used to guide the inverse diffusion process in generating unobserved images with consistent geometric structure and physical properties. …”
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Polyethylene Packaging as a Source of Microplastics: Current Knowledge and Future Directions on Food Contamination by Piotr Kowalczyk, Kornelia Kadac-Czapska, Małgorzata Grembecka

“…The role of PE–MPs as vectors for environmental contaminants is also examined, focusing on their adsorption and desorption behavior. …”
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An edge enhancement graph neural network model with node discrimination for knowledge graph representation learning by Tao Wang, Bo Shen

“…Abstract The vectorized representation of a knowledge graph is essential for effectively utilizing its implicit knowledge. …”
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Myocarditis Detection Using Proximal Policy Optimization and Mutual Learning by Asadi Srinivasulu, Sivaram Rajeyyagari

“…The model employs multiple convolutional neural networks (CNNs) to extract feature vectors from images for classification. To address class imbalance, a proximal policy optimization (PPO)-based algorithm is utilized, significantly improving the training process by preventing abrupt policy shifts and stabilizing them. …”
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THE RESEARCH ACTIVITY OF THE UNIVERSITY TEACHERS: DIRECTIONS, RESULTS, AND PROSPECTS. SOCIOLOGICAL CONTENT by I. A. Vasilyev

“…The classification (depending on the translation vectors results) of dissertation works of graduate students, doctoral candidates is carried out in the course of the present study. …”
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Finite-Time Control for Satellite Formation Reconfiguration and Maintenance in LEO: A Nonlinear Lyapunov-Based SDDRE Approach by Majid Bakhtiari, Amirhossein Panahyazdan, Ehsan Abbasali

“…This control approach addresses the challenges of reaching the relative position and velocity vectors within a defined timeframe amid various orbital perturbations. …”
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Manner implicatures in large language models by Yan Cong

“…How well is this pragmatic reasoning process represented in pre-trained large language models (LLM)? …”
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Dual-context enhanced knowledge representation learning method in hyper-relational knowledge graphs by Jiahang Li, Qilong Han, Dan Lu, Lijie Li

“…Then, features extracted from various contexts in HKGs are aligned and integrated to improve the simplistic update process for relations, as relations are crucial bridges connecting the entire graph. …”
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Fusion Text Representations to Enhance Contextual Meaning in Sentiment Classification by Komang Wahyu Trisna, Jinjie Huang, Hengyu Liang, Eddy Muntina Dharma

“…The classification process using deep learning models is closely tied to text representation. …”
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Genesis of the Logico-Semantic Organization of Adolescents Speech in the Post-Nonclassical Perspective of the Contemporaneity by Natalya Tokareva

“…The data obtained are interpreted by the author as the conditionality of the schoolchildren’ speech development not only by the external situational and contextual influence of the educational process, but also by the specificity of age-related neoplasms of the cognitive spectrum. …”
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Automated Lane-Level Road Geometry Estimation Using Microscopic Trajectory Data by Junhua Wang, Chengmin Li, Ting Fu, Lanfang Zhang, Anae Sobhani, Jiangtian Xue

“…The method involves segmenting the trajectory points using direction vectors and clustering them and fitting a series of cluster center points. …”
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DIFFERENTIATION OF POLYNOMIALS IN SEVERAL VARIABLES OVER GALOIS FIELDS OF FUZZY CARDINALITY AND APPLICATIONS TO REED-MULLER CODES by V. M. Deundyak, N. S. Mogilevskaya

“…In future, it is planned  to  study  the  restoration  process  of  the  original polynomial by its derivatives, in case of their partial distortion, and the development of appropriate applications.…”
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Analysis of Factors That Regulate HIV-1 Fusion in Reverse by Ayna Alfadhli, Robin Lid Barklis, Fikadu G. Tafesse, Eric Barklis

“…The process, which we refer to as fusion in reverse, involves the binding and activation of cellular Env proteins to fuse membranes with lentiviruses carrying CD4 and CXCR4 proteins. …”
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Geometric properties of quantum entanglement and machine learning by S. V. Zuev

“…Free online optimization learning process allows it to be applied in data streaming, that is, adapting to changes in the environment. …”
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Ecology of Gene Drives: The Role of Density‐Dependent Feedbacks on the Efficacy and Dynamics of Two‐Locus Underdominance Gene Drive Systems by Ziqian Xu, Michael B. Bonsall

“…ABSTRACT Density dependence describes the regulation of population growth rate by population density. This process is widely observed in insect populations, including vectors such as mosquitoes and agricultural pests that are targets of genetic biocontrol using gene drive technologies. …”
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DC-BiLSTM-CNN Algorithm for Sentiment Analysis of Chinese Product Reviews by Yuanfang Dong, Xiaofei Li, Meiling He, Jun Li

“…The algorithm constructs two channels, transforming text into both character and word vectors and inputting them into Bidirectional Long Short-Term Memory (BiLSTM), and Convolutional Neural Network (CNN) models. …”
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Cluster Networking and Cooperative Localization Based on Biogeography Optimization and Improved Super-Multidimensional Scaling for Multi-Unmanned Aerial Vehicles by Shuhao Zhang, Huimin Zhang, Ying Zhan, Xiaokai Wei, Yang Liu

“…Subsequently, an improved adaptive sampling Nystrom super-multidimensional scaling algorithm is employed to dynamically select the kernel matrix row vectors. This selection process not only reduces data processing requirements but also enhances the accuracy of the similarity matrix approximation, thus diminishing computational complexity and achieving precise relative positioning of UAVs. …”
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An Application of Variational Minimization: Quasi-Harmonic Coons Patches by Daud Ahmad, Kiran Naz, Sadia Bashir, Abdul Bariq

“…The ansatz method targets a slightly perturbed surface (the rational blending interpolants-based Coons patch, Hermite cubic polynomials interpolants-based Coons patch, and Ferguson surface (vanishing twist vectors) in our case) that comprises initially a nonminimal surface plus the product of a real parameter with a variational function of surface parameters (vanishes at the boundary curves along the unit normal to the slightly perturbed surface). …”
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