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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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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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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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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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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The Effect of Highly Hydroxylated Fullerenol C60(OH)36 on Human Erythrocyte Membrane Organization by Jacek Grebowski, Anita Krokosz

“…Fullerenol at 100 mg/L or 150 mg/L caused conformational changes in membrane proteins, expressed as an increase in the hw/hs parameter, when fullerenol was added before the maleimide spin label (MSL) to the membrane suspension. The increase of the hw/hs parameter may be caused by changes in lipid-protein or protein-protein interactions which increase the mobility of the MSL label and as a result increase the membrane fluidity. …”
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Towards automated recipe genre classification using semi-supervised learning. by Nazmus Sakib, G M Shahariar, Md Mohsinul Kabir, Md Kamrul Hasan, Hasan Mahmud

“…However, categorizing raw recipes found online into appropriate food genres can be challenging due to a lack of adequate labeled data. In this study, we present a dataset named the "Assorted, Archetypal, and Annotated Two Million Extended (3A2M+) Cooking Recipe Dataset" that contains two million culinary recipes labeled in respective categories with extended named entities extracted from recipe descriptions. …”
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A Semisupervised Cascade Classification Algorithm by Stamatis Karlos, Nikos Fazakis, Sotiris Kotsiantis, Kyriakos Sgarbas

“…The shortage of enough labeled data in the majority of these applications has shifted the interest towards using semisupervised methods. …”
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Insecticides Currently Used on Vegetables by Susan E. Webb, Philip A. Stansly

“…This 12-page fact sheet lists many of the common insecticides currently labeled for use on vegetables in Florida. A number of new materials have been registered in the past few years or have had additional crops added to their labels. …”
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Chapter 12. Calibration of Chemical Applicators Used in Vegetables by Richard K. Sprenkel

“…Equipment for applying both liquid and dry material must be accurately calibrated for the pesticide to work properly and to avoid damaging or killing the crop if, the case in the case of herbicides, too much is applied. Also, since the label on a container of pesticide is considered to be a legal document, calibration of equipment ensures the product is being applied as specified on the label and that environmental contamination will be minimized. …”
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Sign Prediction on Unlabeled Social Networks Using Branch and Bound Optimized Transfer Learning by Weiwei Yuan, Jiali Pang, Donghai Guan, Yuan Tian, Abdullah Al-Dhelaan, Mohammed Al-Dhelaan

“…With this design, the target domain label information is not required for classifier. …”
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Sub-cellular population imaging tools reveal stable apical dendrites in hippocampal area CA3 by Jason J. Moore, Shannon K. Rashid, Emmett Bicker, Cara D. Johnson, Naomi Codrington, Dmitri B. Chklovskii, Jayeeta Basu

“…To capture compartment-specific population dynamics, we developed computational tools to automatically segment dendrites and extract accurate fluorescence traces from densely labeled neurons. We validated the method on sparsely labeled preparations and synthetic data, predicting an optimal labeling density for high experimental throughput and analytical accuracy. …”
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