2019–2020 Florida Citrus Production Guide: Pesticides Registered for Use on Florida Citrus by Lauren M. Diepenbrock, Megan M. Dewdney, Tripti Vashisth, Stephen H. Futch

“…ENY-601/CG017: 2022–2023 Florida Citrus Production Guide: Pesticides Registered for Use on Florida Citrus (ufl.edu) *Note: in Table 5, the entry for Revus (Mandipropamid) has changed as of October 14, 2019. The label has been updated so that the product has a bearing label as well as a non-bearing label. …”
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2019–2020 Florida Citrus Production Guide: Pesticides Registered for Use on Florida Citrus by Lauren M. Diepenbrock, Megan M. Dewdney, Tripti Vashisth, Stephen H. Futch

“…ENY-601/CG017: 2022–2023 Florida Citrus Production Guide: Pesticides Registered for Use on Florida Citrus (ufl.edu) *Note: in Table 5, the entry for Revus (Mandipropamid) has changed as of October 14, 2019. The label has been updated so that the product has a bearing label as well as a non-bearing label. …”
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Onset of Intense Surface Enhanced Raman Scattering and Aggregation in the Au@Ag System by Priya Bhatia, Joseph Consiglio, John Diniz, Jia E. Lu, Christopher Hoff, Shelby Ritz-Schubert, Roger H. Terrill

“…Gold core/silver shell (Au@Ag) nanoparticles of ~37 ± 5 nm diameter generate intense SERS (λEX=785 nm) responses in solution when they interact with the SERS labels rhodamine 6G (R6G), 4-mercaptopyridine (MPY), and 4-mercaptobenzoic acid (MBA). …”
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Psychometric Evaluation and Refinement of the Pain Response Preference Questionnaire by Lachlan A McWilliams, John Kowal, Donald Sharpe, Bruce D Dick

“…The initial factor analytical study of the PRPQ produced four empirically supported scales labelled Solicitude, Management, Encouragement and Suppression. …”
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SSMM: Semi-supervised manifold method with spatial-spectral self-training and regularized metric constraints for hyperspectral image dimensionality reduction by Bei Zhu, Yao Jin, Xuehua Guan, Yanni Dong

“…The spatial-spectral self-training module is proposed, which learns pseudo-labels by jointly training the spatial and spectral information. …”
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Noninvasive in vivo assessment of placental insufficiency using pCASL: a prospective case–control study by Ghada Awad, Alaa Mohamed Reda, Rasha Lotfy Younis, Manal Mostafa Hassan, Rania Essam Eldin Mohamed Ali

“…Abstract Background Arterial spin labeling is a noninvasive imaging modality that does not use contrast for evaluation of placental perfusion in the placental pathological conditions. …”
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“Play by play”: A dataset of handball and basketball game situations in a standardized spaceZenodo by Bruno Cabado, Bertha Guijarro-Berdiñas, Emilio J. Padrón

“…The dataset consists of synthetic data generated from real video frames, including 308,805 labeled handball frames and 56,578 labeled basketball frames extracted from 2105 handball and 383 basketball 5-s video clips.Experts manually labeled the video clips based on the respective sports, while the individual frames were automatically labeled using computer vision and machine learning techniques. …”
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Extrinsic attributes that drive consumer purchase of block mozzarella by K. Homwongpanich, M.E. Watson, D. Rovai, H. Eshpari, M.A. Drake

“…Maximum difference scaling was applied to further quantify the appeal of 23 label claims or messages. Subsequently, 2.5-h immersive qualitative focus groups were conducted (n = 28 consumers) that included mozzarella usage occasion discussion, naming identification, block mozzarella sorting, label discussion, and group tasting. …”
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Enhancing Semi-Supervised Learning With Concept Drift Detection and Self-Training: A Study on Classifier Diversity and Performance by Jose L. M. Perez, Roberto S. M. Barros, Silas G. T. C. Santos

“…Additionally, it introduces a self-training approach to provide more labels and optimize model learning and adaptation. …”
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A Multi-Level Multiple Contrastive Learning Method for Single-Lead Electrocardiogram Atrial Fibrillation Detection by Yonggang Zou, Peng Wang, Lidong Du, Xianxiang Chen, Zhenfeng Li, Junxian Song, Zhen Fang

“…However, supervised AF detection is often limited in performance due to the difficulty in obtaining labeled data. To address the gap between limited labeled data and the requirements for model robustness and generalization in single-lead ECG AF detection, we proposed a semi-supervised contrastive learning method named MLMCL for AF detection. …”
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Microarrays as Model Biosensor Platforms to Investigate the Structure and Affinity of Aptamers by Jennifer A. Martin, Yaroslav Chushak, Jorge L. Chávez, Joshua A. Hagen, Nancy Kelley-Loughnane

“…The results indicate a minimum distance (linker length) from the surface and thymine nucleobase linker provides reproducible binding across varying conditions. An indirect labeling method, where the target was labeled with a biotin followed by a brief Cy3-streptavidin incubation, provided a higher signal-to-noise ratio and over two orders of magnitude improvement in limit of detection, compared to direct Cy3-protein labeling. …”
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Unlocking the potential of hydrogen deuterium exchange via an iterative continuous-flow deuteration process by Kevin Tatoueix, Marco Lepron, Cédric Barboux, Marie-Christine Scherrmann, Grégory Pieters, Sophie Feuillastre

“…Abstract Labelled compounds bearing hydrogen isotopes are keystones in diverse areas constituting a multi-billion dollar global market including drugs, diagnostics, biology, toxicology and smart materials. …”
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Kombinasi K-Means dan Support Vector Machine (SVM) untuk Memprediksi Unsur Sara pada Tweet by Wiga Maulana Baihaqi, Muliasari Pinilih, Miftakhul Rohmah

“…Obtained from the analysis that can automatically contain sentences on social media containing no SARA or not, but the corpus about sentences containing SARA does not yet exist, other than that the sentence label indicates SARA or no sentence. This study aims to make sentence corpus containing SARA elements obtained from twitter, then label sentences with labels containing elements of SARA and not, and conduct group sentiments. …”
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Long-term live-cell imaging of GFAP+ astroglia and laminin+ vessels in organotypic mouse brain slices using microcontact printing by Christian Humpel

“…Using microcontact printing, antibodies are applied directly onto the slices in a controlled 400-μm-diameter pattern. Astrocytes are labeled with glial fibrillary acidic protein (GFAP), and vessels are labeled with laminin. …”
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Newly Generated Cells in the Dentate Gyrus Differentially Respond to Brief Spatial Exploration and Forced Swim in Adult Female Balb/C Mice by Gerardo Bernabé Ramírez-Rodríguez, María del Ángel Ocaña-Fernández, Leonardo Ortiz-López

“…We found a decreased activation of IdU-labelled cells in mice exposed to forced-swim stress with increase number of CldU-labelled cells. …”
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Chlorophyll performances as an indicator of compost quality: Effectiveness of liquid humic substances and compost tea by Bouchra El Hayany, Khaoula En-Nejmy, Ghizlen El Mezouari El Glaoui, Mohamed Hafidi, Loubna El Fels

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MEVDT: Multi-modal event-based vehicle detection and tracking datasetDeep Blue Data by Zaid A. El Shair, Samir A. Rawashdeh

“…Additionally, MEVDT includes manually annotated ground truth labels — consisting of object classifications, pixel-precise bounding boxes, and unique object IDs — which are provided at a labeling frequency of 24 Hz. …”
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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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