Biens publics : construction économique et registres sociaux by Philippe Boudes, Catherine Darrot

“…The first part presents the classical definitions of public goods and, inspired by the Kuhnian epistemological approach, describes the labelization process and reappropriation of public goods made by the neoclassical theory. …”
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Integration of unpaired single cell omics data by deep transfer graph convolutional network. by Yulong Kan, Yunjing Qi, Zhongxiao Zhang, Xikeng Liang, Weihao Wang, Shuilin Jin

“…Leveraging the datasets and transfering labels from scRNA-seq to scATAC-seq will empower the exploration of single-cell omics data. …”
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Identification and Validation of Nebulized Aerosol Devices for Sputum Induction by Warren J Davidson, John Dennis, Stephanie The, Belinda Litoski, Cora Pieron, Richard Leigh

“…Therefore, there is a need to identify alternative nebulizer devices that are either disposable or labelled for multi-patient use.…”
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Deep Learning-Based Identification of Echocardiographic Abnormalities From Electrocardiograms by Goro Fujiki, MD, Satoshi Kodera, MD, PhD, Naoto Setoguchi, MD, Kengo Tanabe, MD, PhD, Kotaro Miyaji, MD, PhD, Shunichi Kushida, MD, PhD, Mike Saji, MD, PhD, Mamoru Nanasato, MD, PhD, Hisataka Maki, MD, PhD, Hideo Fujita, MD, PhD, Nahoko Kato, MD, PhD, Hiroyuki Watanabe, MD, PhD, Minami Suzuki, MD, Masao Takahashi, MD, PhD, Naoko Sawada, MD, PhD, Jiro Ando, MD, Masataka Sato, MD, Shinnosuke Sawano, MD, PhD, Susumu Katsushika, MD, PhD, Hiroki Shinohara, MD, PhD, Norifumi Takeda, MD, PhD, Katsuhito Fujiu, MD, PhD, Hiroshi Akazawa, MD, PhD, Hiroyuki Morita, MD, PhD, Issei Komuro, MD, PhD

“…These findings were predicted using convolutional neural networks, and a composite label was analyzed using logistic regression. A positive composite label indicated positivity in any of the 12 findings. …”
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Perceptions of branding in the clothing industry by Andrissa van Eck, Anské Grobler, Frederick Herbst

“…The results of this exploratory study indicated that (i) both male and female Black adolescents share positive perceptions towards branded clothes; (ii) although unbranded items were perceived as less favourable, their worth was not denied; and (iii) when it comes to possible differences in the two genders’ perceptions of designer labels versus non-designer labels, they speak with one voice: designer labels are much preferred. …”
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A multimodal multidomain multilingual medical foundation model for zero shot clinical diagnosis by Fenglin Liu, Zheng Li, Qingyu Yin, Jinfa Huang, Jiebo Luo, Anshul Thakur, Kim Branson, Patrick Schwab, Bing Yin, Xian Wu, Yefeng Zheng, David A. Clifton

“…It is useful for rare diseases and non-English languages, where the labeled data are frequently much more scarce, and may even be absent. …”
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A SYSTEMATIC STUDY REGARDING THE IMPORTANCE OF OBTAINING ECOLABEL IN ROMANIA by ANTONINA TEMEA, VALENTIN NEDEFF, CLAUDIO COMOGLIO, SERENA BOTTA, MIRELA PANAINTE-LEHADUS

“… The purpose of this paper is to review and present a short synthesis of the scientific literature on Ecolabel and an analysis of the types of products and services in Romania that obtained this environmental label. European eco-label is the only environmental quality label (type I; ISO 14024), awarded at institutional level (EC) valid all around the Europe, and it represents a unique opportunity to satisfy consumer expectations. …”
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A two-step machine learning approach for predictive maintenance and anomaly detection in environmental sensor systems by Saiprasad Potharaju, Ravi Kumar Tirandasu, Swapnali N. Tambe, Devyani Bhamare Jadhav, Dudla Anil Kumar, Shanmuk Srinivas Amiripalli

“…The dataset consisted of sensor readings such as temperature, humidity, CO, LPG, and smoke, with no class labels available. This research is novel in seamlessly blending unsupervised anomaly detection using Isolation Forest to create labels for data points that were previously unlabeled. …”
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Capturing Requirements for a Data Annotation Tool for Intensive Care: Experimental User-Centered Design Study by Marceli Wac, Raul Santos-Rodriguez, Chris McWilliams, Christopher Bourdeaux

“…There is a need to ensure a seamless transition between data investigation, annotation, and refinement of the labels.…”
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A Deep Curriculum Learning Semi-Supervised Framework for Remote Sensing Scene Classification by Qing Zhang, Jialu Chen, Baohua Yuan

“…Generally, deep learning requires a large amount of labeled training data. Nevertheless, in remote sensing, sufficient labeled data are scarce because labeled data are often difficult, expensive, or time-consuming to obtain. …”
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Optical Imaging of Integrin αβ Expression with Near-Infrared Fluorescent RGD Dimer with Tetra(ethylene glycol) Linkers by Zhaofei Liu, Shuanglong Liu, Gang Niu, Fan Wang, Shuang Liu, Xiaoyuan Chen

“…The in vitro and in vivo characterization of dye-labeled E[PEG 4 -c(RGDfK)] 2 were compared with dye-labeled RGD dimer without PEG 4 linkers (namely, E[c(RGDfK)] 2 ). …”
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Research on Clue Mining in Criminal Cases of Smart Phone Trojan Horse under the Background of Information Security by Li Gang, Yong Wen

“…This method first trains three different classifiers based on the labeled dataset. In the collaborative training process, the new labeled event pairs used to expand each classifier are provided by the other two classifiers. …”
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Tracking Tumor Cells in Lymphatics in a Mice Xenograft Model by Magnetic Resonance Imaging by Ting Liu, Haijun Zhou, Rui Xia, Jichun Liao, Changqiang Wu, Hui Wang, Hua Ai, Feng Bi, Fabao Gao

“…This technology provides a powerful tool for tracking SPIO-labeled cancer cells in the lymphatics by cellular MRI. …”
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Annexin A5–Functionalized Nanoparticle for Multimodal Imaging of Cell Death by Rui Zhang, Miao Huang, Min Zhou, Xiaoxia Wen, Qian Huang, Chun Li

“…In this study, we evaluated 111 In-labeled annexin A5–conjugated core-cross-linked polymeric micelles (CCPMs) for multimodal imaging of cell death in various disease models. …”
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FAULT DIAGNOSIS BASED ON SEMI-SUPERVISED LLTSA FOR DIMENSION REDUCTION by LI Lei, PANG Hai, ZHANG QianTu

“…The improved method realized the combination of data intrinsic manifold structure and class label information,and more discriminative low-dimension features can been obtained. …”
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A dataset of blood slide images for AI-based diagnosis of malariaDataverse by Rose Nakasi, Joyce Nakatumba Nabende, Jeremy Francis Tusubira, Aloyzius Lubowa Bamundaga, Alfred Andama

“…The dataset has 3000 labelled thick blood smear images and 1000 labelled thin blood smear images. …”
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A Semi-Supervised Deep Network Embedding Approach Based on the Neighborhood Structure by Wenmao Wu, Zhizhou Yu, Jieyue He

“…The recently proposed unsupervised deep learning models ignore the labels information. To address these challenges, in this paper, we propose an effective network embedding method of Structural Labeled Locally Deep Nonlinear Embedding (SLLDNE). …”
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BidCorpus: A multifaceted learning dataset for public procurementHugging Face by Weslley Lima, Victor Silva, Jasson Silva, Ricardo Lira, Anselmo Paiva

“…We expect the dataset and its labels to be of great value to researchers working on public procurement problems.…”
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On the Graph Isomorphism Completeness of Directed and Multidirected Graphs by Sebastian Pardo-Guerra, Vivek Kurien George, Gabriel A. Silva

“…The category of directed graphs is isomorphic to a particular category whose objects are labeled undirected bipartite graphs and whose morphisms are undirected graph morphisms that respect the labeling. …”
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Consistency Regularization for Semi-Supervised Semantic Segmentation of Flood Regions From SAR Images by G. Savitha, S. Girisha, Pundarika Sughosh, Dasharathraj K. Shetty, Jayaraj Mymbilly Balakrishnan, Rahul Paul, Nithesh Naik

“…In particular, the paper proposes labeling unannotated instances of data using a pseudo-label generation strategy. …”
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