New Perspectives on Classical Meanness of Some Ladder Graphs by A. M. Alanazi, G. Muhiuddin, A. R. Kannan, V. Govindan

“…In this study, we investigate a new kind of mean labeling of graph. The ladder graph plays an important role in the area of communication networks, coding theory, and transportation engineering. …”
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Vida Saludable: Entendiendo la etiqueta de datos nutricionales by Karla P. Shelnutt

“…Shelnutt, is the Spanish language version of FCS8883/FY1127 Healthy Eating: Understanding the Nutrition Facts Label. It explains the nutrition facts label — why it is needed and how to read it. …”
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An efficient interpretable framework for unsupervised low, very low and extreme birth weight detection. by Ali Nawaz, Amir Ahmad, Shehroz S Khan, Mohammad Mehedy Masud, Nadirah Ghenimi, Luai A Ahmed

“…This method is particularly valuable in contexts where labeled data are scarce or labels for the anomaly class are not available, allowing for preliminary insights and detection that can inform further data labeling and more focused supervised learning efforts. …”
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Vida Saludable: Etiquetas de Suplementos Dietéticos Búsqueda por Palabras by Karla P. Shelnutt

“…Shelnutt, is the Spanish-language version of FCS-8854, Healthy Living: Dietary Supplement Labels Word Search. It includes words that may be found on dietary supplements labels in a word search format. …”
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Vida Saludable: Etiquetas de Suplementos Dietéticos Búsqueda por Palabras by Karla P. Shelnutt

“…Shelnutt, is the Spanish-language version of FCS-8854, Healthy Living: Dietary Supplement Labels Word Search. It includes words that may be found on dietary supplements labels in a word search format. …”
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Design and implementation of a model for OS kernel integrity protection by Dong-hai TIAN, Jun-hua CHEN, Xiao-qi JIA, Chang-zhen HU

“…Untrusted kernel extensions were considered to be a big threat to OS kernel integrity because once they were loaded into the kernel space,then they may corrupt both the OS kernel data and code at will.To address this problem,MAC-based model named MOKIP for OS kernel integrity protection was presented.The basic idea of MOKIP was to set different integrity labels for different entities in the kernel space,and then ensure that the entities with low integrity label cannot harm the entities with high integrity label.A prototype system based on the hardware assisted virtualization technology was implemented.The experimental results show that proposed system is effective at defending against various malicious kernel extension attacks within a little performance overhead which is less than 13%.…”
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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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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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Multi-adversarial domain adaptation method based on feature correction by Yong ZHANG, Haoshuang LIU, Qi ZHANG, Wenzhe LIU

“…Domain adaptation can transfer labeled source domain information to an unlabeled but related target domain by aligning the distribution of source domain and target domain.However, most existing methods only align the low-level feature distributions of the source and target domains, failing to capture fine-grained information within the samples.To address this limitation, a feature correction-based multi-adversarial domain adaptation method was proposed.An attention mechanism to highlight transferable regions was introduced in this method and a feature correction module was deployed to align the high-level feature distributions between the two domains, further reducing domain discrepancies.Additionally, to prevent individual classifiers from overfitting their own noisy pseudo-labels,dual classifier co-training was proposed and the feature aggregation property of graph neural networks was utilized to generate more accurate source domain labels.Extensive experiments on three benchmark datasets for transfer learning demonstrate the effectiveness of the proposed method.…”
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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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Adaptive Hierarchical Text Classification Using ERNIE and Dynamic Threshold Pruning by Han Chen, Yangsen Zhang, Yuru Jiang, Ruixue Duan

“…Hierarchical Text Classification (HTC) is a challenging task where labels are structured in a tree or Directed Acyclic Graph (DAG) format. …”
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Immunotargeting of Integrin αβ for Single-Photon Emission Computed Tomography and Near-Infrared Fluorescence Imaging in a Pancreatic Cancer Model by Winn Aung MBBS, PhD, Atsushi B. Tsuji PhD, Hitomi Sudo PhD, Aya Sugyo M.Ed, Takako Furukawa PhD, Yoshinori Ukai PhD, Yoshikazu Kurosawa PhD, Tsuneo Saga MD, PhD

“…The biodistribution profile of 111 In-labeled probe, ARG, and IHC confirmed the α 6 β 4 specific binding of the probe. …”
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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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Wheat disease recognition method based on the SC-ConvNeXt network model by Tianliang Dong, Xiao Ma, Bin Huang, Wenyu Zhong, Qingan Han, Qinghai Wu, You Tang

“…Abstract When utilizing convolutional neural networks for wheat disease identification, the training phase typically requires a substantial amount of labeled data. However, labeling data is both complex and costly. …”
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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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Pseudolabel guided pixels contrast for domain adaptive semantic segmentation by Jianzi Xiang, Cailu Wan, Zhu Cao

“…Unsupervised domain adaptation (UDA) for semantic segmentation is a technique that uses virtual data with labels to train a model and adapts it to real data without labels. …”
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Supervised Convolutional Encoder-Decoder With Gated Linear Units for Detecting Fetal R-Peaks by Yao Chen, Jian Wang, Jing Zhang, Junkun Zhang, Zhentao Qin, Xinran Liu

“…The versatility of our approach is validated through tests of different label encoding strategies, demonstrating its potential for other complex fetal ECG labeling tasks.…”
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