Enhanced Hybrid Deep Learning Model With Improved Self-Attention Mechanism for Legal Judgment Prediction by G. Sukanya, J. Priyadarshini

“…The dawn of Natural Language Processing in the legal research field has achieved great heights. …”
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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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EEG analysis of trial subjects with discirculatory encephalopathy by multidimensional scaling method of cognitive tests and leads by Anna I. Novikova, Kaleria A. Moroz, Elena A. Kizhevatova

“…The research subject is graphs of the vectors arrangement dynamics in the two-dimensional attribute space of EEG-data of healthy and patient subjects corresponding to each of the leads and cognitive tests. …”
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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

“…First, multiple independent vectors for entities and relations are learned according to their specific roles within triples and qualifiers, ensuring that the representations adapt to different contexts and eliminate potential semantic confusion. …”
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Transformer-Based Multi-Target Object Detection and Tracking Framework for Robust Spatio-Temporal Memory in Dynamic Environments by Tareq Mahmod AlZubi, Umar Raza Mukhtar

“…The Target Proposal Module generates object candidates using a transformer encoder-decoder structure, and the memory decoder integrates both proposal and track vectors to predict object locations and identities in real-time, minimizing post-processing. …”
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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 article presents the results of theoretical and empirical analysis of the trends in the speech development of adolescents in the context of psycholinguistic scientific space. As one of the vectors of adolescents’ thought-speech activity development, the author considers the development of the logical-semantic organization of the speech utterance, which is a complex unity of interrelated but phenomenologically independent phenomena: object-meaning and logical ordering of speech utterance structure. …”
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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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EXPLORING A NOVEL HEXACO PERSONALITY TRAITS ON TWITTER: AN ENSEMBLE-BASED NLP METHODOLOGY by Tanvi Desai, Divyakant Meva

“…Natural Language Processing (NLP) plays a crucial role in analyzing Twitter data to introduce an automated HEXACO model. …”
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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

“…Based on observations that HIV-1 envelope (Env) proteins on the surfaces of cells have the capacity to fuse with neighboring cells or enveloped viruses that express CD4 receptors and CXCR4 co-receptors, we tested factors that affect the capacities of lentiviral vectors pseudotyped with CD4 and CXCR4 variants to infect Env-expressing cells. …”
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Geometric properties of quantum entanglement and machine learning by S. V. Zuev

“…Data preprocessing was performed by the method of mapping features into numerical vectors, then the method of bringing the data to the desired dimension was applied. …”
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Retracted: Target Recognition Method of Rehabilitation Robot Based on Image Local Features by Xing Li, Tianbao Wu

“…Firstly, after collecting or processing the initially prepared images, feature extraction is performed, and the feature vectors extracted from the features are classified and recognized and then transferred to the recognition model of the rehabilitation robot. …”
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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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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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