Correlation of MRI Visual Scales with Neuropsychological Profile in Mild Cognitive Impairment of Parkinson’s Disease by Luiz Felipe Vasconcellos, João Santos Pereira, Marcelo Adachi, Denise Greca, Manuela Cruz, Ana Lara Malak, Helenice Charchat-Fichman, Mariana Spitz

“…Statistically significant inverse correlation was observed between GCA scale and Mini-Mental Status Examination (MMSE), Montreal Cognitive Assessment (MoCA), semantic verbal fluency, Stroop test, figure memory test, trail making test (TMT) B, and Rey Auditory Verbal Learning Test (RAVLT). …”
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Сognitive Сomplaints with Unilateral Temporal Lobe Compression by M.U. Kaverina, U.V. Strunina, O.A. Krotkova

“…Spontaneous narration of problems reveals their semantic hierarchy and can be a model for generating a spontaneous flow of thoughts and memories with the activity of the default brain network. …”
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Enhancing zero-shot stance detection via multi-task fine-tuning with debate data and knowledge augmentation by Qinlong Fan, Jicang Lu, Yepeng Sun, Qiankun Pi, Shouxin Shang

“…Additionally, we enhance the model’s semantic understanding of the given text and targets by retrieving relevant knowledge from external knowledge bases as context, alleviating the lack of relevant contextual knowledge. …”
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Cross-project software defect prediction based on the reduction and hybridization of software metrics by Ahmed Abdu, Zhengjun Zhai, Hakim A. Abdo, Sungon Lee, Mohammed A. Al-masni, Yeong Hyeon Gu, Redhwan Algabri

“…The current studies focused on three main types of software metrics for CPDP: static metrics, code-change metrics, and semantic features. However, these existing CPDP studies encounter two primary challenges: class overlap due to reduced feature dimensions and multicollinearity from integrating various software metrics. …”
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Context-Aware Fine-Grained Product Recognition on Grocery Shelves by Lovre Antonio Budimir, Zoran Kalafatic, Marko Subasic, Sven Loncaric

“…Our work incorporates semantic and spatial context into a novel product recognition method. …”
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Voice EHR: introducing multimodal audio data for health by James Anibal, James Anibal, Hannah Huth, Ming Li, Lindsey Hazen, Veronica Daoud, Dominique Ebedes, Yen Minh Lam, Hang Nguyen, Phuc Vo Hong, Michael Kleinman, Shelley Ost, Christopher Jackson, Laura Sprabery, Cheran Elangovan, Balaji Krishnaiah, Lee Akst, Lee Akst, Ioan Lina, Iqbal Elyazar, Lenny Ekawati, Stefan Jansen, Richard Nduwayezu, Charisse Garcia, Jeffrey Plum, Jacqueline Brenner, Miranda Song, Emily Ricotta, Emily Ricotta, David Clifton, C. Louise Thwaites, Yael Bensoussan, Bradford Wood

“…Information contained in the Voice EHR samples was consistently rated as equally or more relevant to a health evaluation.DiscussionThe HEAR application facilitates the collection of an audio electronic health record (“Voice EHR”) that may contain complex biomarkers of health from conventional voice/respiratory features, speech patterns, and spoken language with semantic meaning and longitudinal context–potentially compensating for the typical limitations of unimodal clinical datasets.…”
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UPL-SLAM: Unconstrained RGB-D SLAM With Accurate Point-Line Features for Visual Perception by Xianshuai Sun, Yuming Zhao, Yabiao Wang, Zhigang Li, Zhen He, Xiaohui Wang

“…Additionally, the point features are organized into a lattice structure and utilized to construct a global pointcloud map in a dedicated thread, aiming to enhance the semantic comprehension of environmental information. …”
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Typology of Negation in the Ardalani Variety of Sorani Kurdish by Roya Tabei, Shoja Tafakkori Rezayi, Amer Gheitury, Mostafa Hasrati

“…However, the modal content remains semantically the same as its affirmative counterpart.…”
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Context-Aware and Locality-Constrained Coding for Image Categorization by Wenhua Xiao, Bin Wang, Yu Liu, Weidong Bao, Maojun Zhang

“…This novel coding strategy not only semantically preserves the information in coding, but also has the ability to alleviate the noise distortion of each class. …”
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Different Temporal Patterns of Specific and General Autobiographical Memories across the Lifespan in Alzheimer’s Disease by Nathalie Philippi, François Rousseau, Vincent Noblet, Anne Botzung, Olivier Després, Benjamin Cretin, Stéphane Kremer, Frédéric Blanc, Liliann Manning

“…Our results highlight a shift from an initially episodic to a semantic nature of AbMs during AD, where the abstracted form of memories remains.…”
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Identification of Proteins and Genes Associated with Hedgehog Signaling Pathway Involved in Neoplasm Formation Using Text-Mining Approach by Nadezhda Yu. Biziukova, Sergey M. Ivanov, Olga A. Tarasova

“…For association extraction, we develop a set of semantic rules. We complete the results of the text analysis with the gene set enrichment analysis. …”
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Research on YOLOv5 Oracle Recognition Algorithm Based on Multi-Module Fusion by Xinhang Zhang, Zhenhua Ma, Yaru Zhang, Huiying Ru

“…The recognition of oracle bone script is of significant importance for understanding the evolution of Chinese characters, their morphological features, and semantic changes. However, traditional methods and some deep learning models have limited ability to capture the complex forms and fine details of oracle bone script, which makes it difficult to fully detect subtle differences between characters. …”
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Faith, Understanding, Proof by A. E. Razumov

“…The most common, characteristic case is the belief in the semantic ability of mathematics. One can also call the judgment of faith in a sufficiently finite number of expert checks to finally confirm the law relating to an infinite (in potency) number of cases. …”
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MARTIN HEIDEGGER’S METAPHYSICAL QUESTION 1935-1937: GENESIS AND CONSEQUENCES. PART ONE by Юрій МАРИНЧУК

“…The first plan of the stated metaphysics is considered in the fourfold geometric intersection of the essential-artistic space – the square (Gefirt) of the world, earth, mortals and immortals. The result of the semantic field of landscape from our memory of native lands is a history of the meanings of thinking, and things are pre-thought states. …”
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Exploring gender differences in knowledge and practices related to antibiotic use in Southeast Asia: A scoping review. by Phuc Pham-Duc, Kavitha Sriparamananthan

“…The search strategy for this scoping review involved PubMed, Semantic Scholar, BioMed Central and ProQuest. Two-level screening was applied to identify the final sample of relevant sources. …”
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Automatic Identification Model for Landslide Disaster Using Remote Sensing Images Based on Improved Multiresunet by Zhenyu Zhao, Shucheng Tan, Qinghua Zhang, Hui Chen

“…Despite significant progress in semantic segmentation achieved by convolutional neural networks (CNNs), the local sensory field of CNNs poses difficulties in differentiating between landslides and bare surfaces. …”
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Adapting a style based generative adversarial network to create images depicting cleft lip deformity by Abdullah Hayajneh, Erchin Serpedin, Mohammad Shaqfeh, Graeme Glass, Mitchell A. Stotland

“…Performance metrics demonstrated a high similarity of the generated images to our training dataset and a smooth, semantically valid interpolation of images through the transfer learning process. …”
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DIONYSUS CULT AS A PROTOTYPE OF AUTONOMOUS GENDER by O. O. Poliakova, V. V. Asotskyi

“…The achievement of this goal involves, firstly, the "archeology" of telestic madness and orgasm as the liberating states the comprehension of their semantic potential for the outlook of the Dionysian neophyte, and secondly, to identify the features that are likened to the cult community of Dionysus to an autonomous gender and, thirdly, to characterize the metamorphosis of the Dionysian imagery in the postmodern consciousness. …”
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AFF-LightNet: A Lightweight Ship Detection Architecture Based on Attentional Feature Fusion by Yingxiu Yuan, Xiaoyan Yu, Xianwei Rong, Xiaozhou Wang

“…To enhance the fusion of multi-scale features and semantically inconsistent features, we introduce iterative attentional feature fusion (IAFF) into the proposed neck network, improving the efficiency of feature fusion by introducing a multi-scale channel attention module. …”
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Unsupervised domain adaptation teacher–student network for retinal vessel segmentation via full-resolution refined model by Kejuan Yue, Lixin Zhan, Zheng Wang

“…We reconstructed the encoder and decoder of the network into a full-resolution refined model by computing the training loss at multiple semantic levels and multiple label resolutions. We validated our method on two publicly available datasets DRIVE and STARE. …”
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