A cross‐project defect prediction method based on multi‐adaptation and nuclear norm by Qingan Huang, Le Ma, Siyu Jiang, Guobin Wu, Hengjie Song, Libiao Jiang, Chunyun Zheng

“…Traditional CPDP methods based on hand‐crafted features ignore the semantic information in the source code. Existing CPDP methods based on the deep learning model may not fully consider the differences among projects. …”
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Sustainability from the perspective of a Brazilian university: Discourse and relations with the Sustainable Development Goals by José Florentino Vieira de Melo, Ana Lúcia Araújo Lima Coelho

“…Discursive positions, narrative configurations, and semantic spaces, considered with the Sustainable Development Goals as a parameter, revealed an organization that seeks to follow sustainability but with efforts on the social field, leaving other aspects linked to the theme in the background. …”
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Research on Fine‐Grained Phenotypic Analysis of Temporal Root Systems – Improved YoloV8seg Applied for Fine‐Grained Analysis of In Situ Root Temporal Phenotypes by Qiushi Yu, Meng Zhang, Liuli Wang, Xingyun Liu, Lingxiao Zhu, Liantao Liu, Nan Wang

“…To date, methods for root system phenotypic analysis have predominantly focused on semantic segmentation, integrating phenotypic extraction software to achieve comprehensive root phenotype analysis. …”
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Comprehensive Analysis of Masking Techniques in Molecular Graph Representation Learning by Bonyou Koo, Sunyoung Kwon

“…Our study provides deeper insights into the benefits of masking techniques in molecular graphs and highlights their potential to improve semantic understanding and predictive accuracy in graph-based learning.…”
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Tax benefits as a basic component of the investment tax expenditure management system in the region by S. N. Rukina, K. A. Gerasimova, A. S. Takmazyan, K. N. Samoylova

“…Following general scientific methods of knowledge were used as a methodological basis: comparison, systematic logical and semantic analysis, synthesis of theoretical and practical materials. …”
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Computer-Aided Detection and Diagnosis of Breast Cancer: a Review by Bhanu Prakash Sharma, Ravindra Kumar Purwar

“…In recent studies, deep learning models outperformed the handcrafted feature extraction and classification task and the semantic segmentation of ROI images achieved good results. …”
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Robust medical zero‐watermarking algorithm based on Residual‐DenseNet by Cheng Gong, Jing Liu, Ming Gong, Jingbing Li, Uzair Aslam Bhatti, Jixin Ma

“…A Residual‐DenseNet is designed, which took low‐frequency features after discrete cosine transformation of medical images as labels and applied skip connections and a new objective function to strengthen and extract high‐level semantic features that can effectively distinguish different medical images and binarise them to get robust hash vectors. …”
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Dataset on the quality of life and neurocognitive effects of prophylactic cranial irradiation, with and without hippocampal avoidance, in small-cell lung cancer patientsMendeley Da... by Luis Heredia, Mauricio Murcia-Mejía, Margarita Torrente

“…The evaluation covered various domains: verbal short-term memory, working memory, visuoconstructive abilities, visuospatial memory, semantic memory, verbal fluency, cognitive flexibility, inhibitory control, selective and divided attention, and processing speed. …”
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Semi-automatic construction of heterogeneous data schema based on structure and context-aware recommendation by Nan Yin, Junheng Liang, Xi Guo, Xue Jiang, Jie He, Xiaotong Zhang

“…We propose a schema fragment tree structure to represent data schemas with hierarchical relationships, transforming the recommendation into subtree matching. Fragment index and semantic search techniques are introduced to identify candidate fragments, and a tree editing distance algorithm calculates similarity scores. …”
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Understanding metro station areas’ functional characteristics via embedding representation: A case study of shanghai by Heping Jiang, Ruihua Liu, Shijia Luo, Disheng Yi, Jing Zhang

“…On the basis of the semantic vectors of point of interests (POI) categories trained by the GloVe model, the partition smooth inverse frequency (P-SIF) model and affinity propagation (AP) are employed to generate the embedding representations of station areas and categorize. …”
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Сurrent state of clinical significance of early kidney injury markers by D. N. Khotko, A. I. Khotko, A. I. Tarasenko, A. O. Efimova

“…Bibliographic, informational and semantic source search methods in Google Scholar, PubMed, Scopus and Embase databases were used. …”
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Investigation of an object-detection approach for estimating the rock fragmentation in the open-pit conditions by K. Reshetnikov, M. Ronkin, S. Porshnev

“…Currently, computer vision-based methods using instance or semantic segmentation approaches are most widely applied in the task. …”
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Islandora and TEI: Current and Emerging Applications/Approaches by Kirsta Stapelfeldt, Donald Moses

“…UPEI's IslandLives project, with its forthcoming solution pack, provides insight into how an Islandora version 6 installation can support OCR text extraction, automatic structural/semantic encoding of text, and web-based TEI editing and display functions for site administrators. …”
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How to Burst into Contemporaneity? by V. I. Zagvyazinsky

“…Among the main reasons for insufficient research level, it is emphasized that young scientists are not quite ready for entering the socio-cultural reality because of their methodological illiteracy and non-compliance with the principles declared by the researchers themselves – i.e. systematism, competence, social and personal orientation, cultural conformity, activity approach, value-semantic orientation of education, foot-hold on the internal mechanisms, variability, dialogism, pedagogic cooperation, etc. …”
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Evaluation of a Telemedicine System for the Transmission of Morpho/Immunological Data Aiming at the Inclusion of Patients in a Therapeutic Trial by Jean-François Lesesve, Richard Garand

“…We were able to set out new standards of image sampling for CLL, solve the semantic divergences, and point out interobserver variability as regards morphology. …”
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Comparative Analysis of TF-IDF and Word2Vec in Sentiment Analysis: A Case of Food Reviews by Zhan Zerui

“…Text representation is the basis of sentiment analysis, and TF-IDF and Word2Vec are two commonly used methods to carry out text vectorization by counting word frequency and capturing semantic relations respectively. This paper compares the performance of TF-IDF and Word2Vec in sentiment analysis of food reviews to provide a more effective basis for enterprises and researchers to choose text representation techniques. …”
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Early Modern Exemplars: Reading Strategies and the Assertion of Readerly Identity and Authority in the Life-writing of Mary Ward, Dionys Fitzherbert and Elizabeth Isham by Martin Thompson

“…Focusing primarily on the paratexts attached to life narratives of Mary Ward (1585-1645), Dionys Fitzherbert (c.1580-c.1642) and Elizabeth Isham (1609-1654), it identifies – across the Reformation confessional divide – common semantic and grammatical patterns which demonstrate that these texts advocated and illustrated particular reading strategies that encouraged their audiences too to see their own lives as texts to be read. …”
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FORESIGHT AS A TOOL OF TECHNOLOGICAL PLANNING IN THE MANAGEMENT OF PUBLIC JOINT STOCK COMPANY “GAZPROM” IN THE ERA OF DIGITALIZATION by V. V. Degtyareva, D. A. Lozhnikova

“…A digital model that makes a decision on the choice of the necessary technologies based on semantic analysis of big data – IFORA has been considered. …”
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THE STRAFIFICATION OF CONSCIOUSNESS IN THE YOGACARA BUDDHISM PHILOSOPHY by Audrius Beinorius

“…A special attention is drawn to the treatises of Vasubandhu and by applying the phenomenological, comparative and semantic methods of research. The tradition of the Yogacara school emerged as a reaction to various metaphysical and psychological attitudes of Theravada Buddhism and to philosophical nihilism of Madhyamaka school. …”
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Contribution of students’ self-leadership in online learning activity to academic achievement during covid-19 pandemic by Gendon Barus, Paulus Yanuar Kharismawan, Anastasia Setyandari

“…The data employed the Student Self-leadership Scale in Online Learning with 6 grades differential semantic model with an alpha reliability index of 0.956. …”
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