Gradient Enhancement Techniques and Motion Consistency Constraints for Moving Object Segmentation in 3D LiDAR Point Clouds by Fangzhou Tang, Bocheng Zhu, Junren Sun

“…Our method is validated on the SemanticKITTI-based LiDAR MOS benchmark, where it significantly outperforms current state-of-the-art (SOTA) methods, all while working directly on two-dimensional (2D) range images without requiring mapping.…”
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A deep ensemble learning framework for glioma segmentation and grading prediction by Liang Wen, Hui Sun, Guobiao Liang, Yue Yu

“…We introduce asymmetric convolution and dual-domain attention in the encoder, fully integrating effective information from different modalities, enhancing the extraction of features from critical regions, and constructing a dual-branch decoder that combines spatial features and global semantic information for both segmentation and grading. …”
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Angebot & Nachfrage. Was die Musiktheorie für die Schulpraxis tun kann by Hans Jünger

“…From the point of view of school practice music theory should pay more attention to music of all origins and functions, and it should focus not only on structural aspects but on semantic aspects as well.…”
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Conceptualizing the notions of human-being and human-person in terminal discharge by Jackson Coy

“…From the reflections on the semantic charge of human beings (binadamu in Kiswahili) and human-person (mtu in Kiswahili), it is possible to infer that their distinction holds to moral criterion that may influence terminal discharge in Tanzania. …”
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Perfectionism as an expected job seekers’ social quality in online recruitment by Yu. A. Filyasova

“…Analysis of associated personal qualitiesт gives evidence of immediate semantic perfectionist correlates: ambitiousness, professionalism, scrupulousness and analytical thinking. …”
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Improvement of flipped classroom teaching in colleges and universities based on virtual reality assisted by deep learning by Wenxia Dai, Qinqing Kang

“…The test data shows that the similarity between video and image modes reaches 0.89, which indicates that different modal information can be effectively integrated to ensure the semantic consistency and intuitive understanding of teaching content. …”
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A Tri-Attention Neural Network Model-BasedRecommendation by Nanxin Wang, Libin Yang, Yu Zheng, Xiaoyan Cai, Xin Mei, Hang Dai

“…Finally, the encoded interaction information among the user, the item, and their related meta-paths, which contain more semantic information can be used for recommendation task. …”
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A Hybrid Neural Network BERT-Cap Based on Pre-Trained Language Model and Capsule Network for User Intent Classification by Hai Liu, Yuanxia Liu, Leung-Pun Wong, Lap-Kei Lee, Tianyong Hao

“…User questions or discourses are usually short in length and lack sufficient context; thus, it is difficult to extract deep semantic information from these types of text and the accuracy of user intent classification may be affected. …”
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An Ontology-Based GIS for Genomic Data Management of Rumen Microbes by Saber Jelokhani-Niaraki, Mojtaba Tahmoorespur, Zarrin Minuchehr, Mohammad Reza Nassiri

“…Our application adopted ontology to portray and store genomic data in a semantic framework, which facilitates data-sharing among biology domains, applications, and experts. …”
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Reconstruction of ER Network from Specific Academic Texts for the Governance of MSW-NIMBY Crisis in China by Qing Yang, Hui Zhou, Xingxing Liu, Chen Zuo, Jinmei Wang

“…Meanwhile, a novel transitivity for relationship between entities in semantic analysis is proposed to improve the feasibility and accuracy of information extraction. …”
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Small Object Detection with Multiscale Features by Guo X. Hu, Zhong Yang, Lei Hu, Li Huang, Jia M. Han

“…The existing object detection algorithm based on the deep convolution neural network needs to carry out multilevel convolution and pooling operations to the entire image in order to extract a deep semantic features of the image. The detection models can get better results for big object. …”
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Bridging the gap: a practical step-by-step approach to warrant safe implementation of large language models in healthcare by Jessica D. Workum, Jessica D. Workum, Jessica D. Workum, Davy van de Sande, Davy van de Sande, Diederik Gommers, Diederik Gommers, Michel E. van Genderen, Michel E. van Genderen

“…We furthermore propose the ACUTE mnemonic; a structured approach for assessing LLM responses based on Accuracy, Consistency, semantically Unaltered outputs, Traceability, and Ethical considerations. …”
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Acoustic features of instrumental movie soundtracks elicit distinct and mostly non-overlapping extra-musical meanings in the mind of the listener by Karleigh Groves, Morwaread Mary Farbood, Brandon Carone, Pablo Ripollés, Arianna Zuanazzi

“…The data demonstrate the capacity of music to convey extra-musical semantic information through audition.…”
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SQL Injection Detection Based on Lightweight Multi-Head Self-Attention by Rui-Teng Lo, Wen-Jyi Hwang, Tsung-Ming Tai

“…Only SQL keywords and symbols are considered as tokens for removing noisy information from input queries. Moreover, semantic labels are assigned to tokens for highlighting malicious intentions. …”
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The Controversies over the Term “Empowerment” in the Implementation of Sustainable Development and the Case of Turkey by Eylem Özkaya Lassalle, Selcan Serdaroğlu Polatay

“…Thus, the concept of empowerment seems to reflect the contradictions of sustainable development semantically and by the nature of the discourse used.…”
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FFUNet: A novel feature fusion makes strong decoder for medical image segmentation by Junsong Xie, Renju Zhu, Zezhi Wu, Jinling Ouyang

“…The proposed FFM consisting of Feature Attention Selection, Cross Offset Generation and Deformable Convolution Layer, aims to replace the original plain skip connection to alleviate the ambiguous semantic information between the encoder and decoder for a more powerful medical image segmentation network. …”
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Decision Making Cognition in Primary Progressive Aphasia by Ezequiel Gleichgerrcht, Teresa Torralva, María Roca, Daniela Szenkman, Agustin Ibanez, Pablo Richly, Mariángeles Pose, Facundo Manes

“…The decision making profile of PPA patients was not associated with performance on language tasks and did not differ between sub-variants of the disease (namely, semantic dementia and progressive nonfluent aphasia). …”
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Single-Frame Infrared Small Target Detection Network Based on Multibranch Feature Aggregation by Ziqiang Hao, Zheng Jiang, Xiaoyu Xu, Zhuohao Wang, Zhicheng Sun

“…The parallel auxiliary branches are carefully designed to provide the main branch with semantic information at varying depths and scales. …”
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Old Wine in New Wineskins: Applying Computational Methods in New Testament Hermeneutics by Christian Houth Vrangbæk, Eva Elisabeth Houth Vrangbæk, Jacob Mortensen

“…This article explores some of the advantages and disadvantages in employing computational/algorithmic approaches, such as so-called semantic models of word embedding and topic modelling analysis. …”
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An ontology-based rare disease common data model harmonising international registries, FHIR, and Phenopackets by Adam S. L. Graefe, Miriam R. Hübner, Filip Rehburg, Steffen Sander, Sophie A. I. Klopfenstein, Samer Alkarkoukly, Ana Grönke, Annic Weyersberg, Daniel Danis, Jana Zschüntzsch, Elisabeth F. Nyoungui, Susanna Wiegand, Peter Kühnen, Peter N. Robinson, Oya Beyan, Sylvia Thun

“…An ontology-based approach was selected to find a common denominator between the semantic and syntactic data standards. Our RD-CDM version 2.0.0 comprises 78 data elements, extending the ERDRI-CDS by 62 elements with previous versions implemented in four German university hospitals capturing real world data for development and evaluation. …”
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