DualPlaqueNet with dual-branch structure and attention mechanism for carotid plaque semantic segmentation and size prediction by Lili Deng, Xingyu Duan, Yongxiang Sun, Yunling Wang, Dongmei Song, Xiaokai Duan

“…However, ultrasound images suffer from high noise, low contrast, and blurred edges, making it difficult for traditional image processing methods to accurately extract plaque information.ObjectiveTo establish a deep learning-based DualPlaqueNet model for semantic segmentation and size prediction of plaques in carotid ultrasound images, thereby providing comprehensive and accurate auxiliary information for clinical risk assessment and personalized diagnosis and treatment.MethodsDualPlaqueNet uses a dual-branch architecture combined with attention mechanisms and joint loss functions to optimize segmentation and regression. …”
Get full text

Estimation and Control of Positive Complex Networks Using Linear Programming by Yan Zhang, Yuanyuan Wu, Yishuang Sun, Pei Zhang

“…The positivity and the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>L</mi><mn>1</mn></msub></semantics></math></inline-formula>-gain stability of complex networks are ensured by resorting to a co-positive Lyapunov function. …”
Get full text

Asymptotic Analysis of Poverty Dynamics via Feller Semigroups by Lahcen Boulaasair, Mehmet Yavuz, Hassane Bouzahir

Get full text

Claude Vandeloise on proximity or the missing piece of a final triptych by Michel Aurnague, Gilles Col

Get full text

Neural entrainment to pitch changes of auditory targets in noise by Xiaoxuan Guo, Guangting Mai, Yousef Mohammadi, Ester Benzaquén, Ekaterina A Yukhnovich, Will Sedley, Timothy D Griffiths

“…We used the temporal response function to predict the electroencephalography responses to the frequency trajectories of the auditory targets. …”
Get full text

A Molecular Dynamics Study of the Solvation Properties of Sugars in Supercritical Carbon Dioxide by Alexandrine Lambert, Francesca Ingrosso

“…On the other hand, these structural modifications were not present for <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>α</mi></semantics></math></inline-formula>- and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>β</mi></semantics></math></inline-formula>-glucose.…”
Get full text

Some Results Related to Booth Lemniscate and Integral Operators by Bilal Khan, Zahra Orouji, Ali Ebadian

“…Using techniques from differential subordination and convolution theory, we establish results concerning the radius of convexity and convolution properties for these function classes. Additionally, we investigate how these integral operators influence the geometric properties of functions in <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi mathvariant="script">BS</mi><mo>(</mo><mi>μ</mi><mo>)</mo></mrow></semantics></math></inline-formula> and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi mathvariant="script">KS</mi><mo>(</mo><mi>μ</mi><mo>)</mo></mrow></semantics></math></inline-formula>, leading to new insights into their structural behavior.…”
Get full text

Pilates . Efectos en la función física y sus limitaciones. Revisión sistemática y metaanálisis (Pilates . Effects on physical function and its limitations. Systematic review and m... by Mario Manuel López Mesa, Eva María Rodríguez González

“…Based on these results, Pilates exercises are an efficient form of physical therapy and moderately improve quality of life related to physical function and its limitations. Keywords. Pilates, Quality of Life Questionnaire SF-36, quality of life, physical function, physical role, body pain. …”
Get full text

The analysis of generative adversarial network in sports education based on deep learning by Eerdenisuyila Eerdenisuyila, Hongming Li, Wei Chen

“…Secondly, GAN is employed to construct a model for generating evaluation texts, encompassing the construction of a generator and discriminator, along with the introduction of a reward function. Finally, the constructed model is utilized to train on evaluation texts related to the mental health qualities of college and university students engaged in sports, validating the effectiveness of the model. …”
Get full text

A low illumination target detection method based on a dynamic gradient gain allocation strategy by Zhiqiang Li, Jian Xiang, Jiawen Duan

“…This method optimizes the model through enhancements in multi-scale feature fusion, feature extraction, detection head, and loss function. Firstly, efficient multi-scale feature fusion is performed by using a new neck structure in the original model so that it can fully exchange high-level semantic information and low-level spatial information. …”
Get full text

Image Classification Model Based on Contrastive Learning With Dynamic Adaptive Loss by Quandeng Gou, Jingxuan Zhou, Zi Li, Fangrui Zhang, Yuheng Ren

Get full text

Compositional-structural, semantic and presuppositional-pragmatic parameters and defects of generated short texts in the GigaChat language neural network by S. V. Gusarenko, M. K. Gusarenko

“…The texts of short stories were chosen as the object of study, since in a certain respect, such texts can be considered as archetypal structures that underlie texts of certain functional types (scripts, advertising texts and stories).Analysis. …”
Get full text

A Novel Pseudo-Siamese Fusion Network for Enhancing Semantic Segmentation of Building Areas in Synthetic Aperture Radar Images by Mengguang Liao, Longcheng Huang, Shaoning Li

Get full text

SKGRec: A Semantic-Enhanced Knowledge Graph Fusion Recommendation Algorithm with Multi-Hop Reasoning and User Behavior Modeling by Siqi Xu, Ziqian Yang, Jing Xu, Ping Feng

“…The model constructs a semantic interaction graph (USIG) of user behaviors and employs a self-attention mechanism and a ranked optimization loss function to mine user interactions in fine-grained semantic associations. …”
Get full text

Semiotics of the Digital Character on Modern Media Scene by Tatiana V. Markelova

“…The semantics of the digit shows and fulfils the substitutional function of the seme “sign” as the digit itself has become the “invincible” item of the semantic actualization, conceptual pragmatization and communicative use of digit , digital , digitalization . …”
Get full text

Induction of Convolutional Decision Trees for Semantic Segmentation of Color Images Using Differential Evolution and Time and Memory Reduction Techniques by Adriana-Laura López-Lobato, Héctor-Gabriel Acosta-Mesa, Efrén Mezura-Montes

Get full text

A Multi-Task Learning Framework with Enhanced Cross-Level Semantic Consistency for Multi-Level Land Cover Classification by Shilin Tao, Haoyu Fu, Ruiqi Yang, Leiguang Wang

“…A hierarchical loss function is also embedded that explicitly models the semantic dependencies between levels, enhancing semantic consistency across levels. …”
Get full text

3D reconstruction of fruit trees and fruit semantic segmentation based on NeRF and improved RandLA-Net by Dacheng YANG, Jun GUO, Jing YANG, Yali ZHANG, Yubin LAN

“…A bilateral enhancement module was added after the encoder layer, and a loss function more suitable for the fruit point cloud segmentation task was adopted. …”
Get full text

Identifying and Evaluating the Semantic and Semiotic Indicators of the Visual System in Identity Promotion Policies (Case Study: Fahadan Neighborhood, Yazd) by Seyyedeh Azita Majdzadeh, Reza Mirzaei

“…The unique characteristics of each city emerge from variations in function, content, and form. This study aims to examine semantic and semiotic indicators in the environmental visual system, with a focus on policy-based approaches for enhancing urban identity. …”
Get full text

More than a Bundle? Developing Adaptive Guidance for Task Selection in an Online, Semantic-Based Cognitive Stimulation Program by Ana Rita Batista, Vasiliki Folia, Susana Silva

“…We analyzed accuracy data as a function of activity-related characteristics (complexity scores, sentence- vs. word-level) as well as participants’ spontaneous task selection. …”
Get full text