Block-Graceful Designs by Dilara Erdemir, Emre Kolotoğlu

“…In this article, we adapt the edge-graceful graph labeling definition into block designs and define a block design V,B with V=v and B=b as block-graceful if there exists a bijection f:B⟶1,2,…,b such that the induced mapping f+:V⟶Zv given by f+x=∑x∈AA∈BfAmod v is a bijection. …”
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Hearing in categories and speech perception at the "cocktail party". by Gavin M Bidelman, Fallon Bernard, Kimberly Skubic

“…"continuous" categorizers based on their VAS labeling (i.e., whether responses were binary or continuous judgments), we then show the degree of release from masking experienced at the cocktail party is predicted by their degree of categoricity in phoneme labeling and not high-frequency audiometric thresholds; more discrete listeners make less effective use of time-reversal and show less release from masking than their gradient responding peers. …”
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Quantum-Inspired Data Embedding for Unlabeled Data in Sparse Environments: A Theoretical Framework for Improved Semi-Supervised Learning without Hardware Dependence by Shawn Ray

“…This approach aims to advance semi-supervised learning in contexts characterized by limited labeled data by enabling more intricate and expressive embeddings that capture the underlying structure of the data effectively. …”
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When the days are(n’t) numbered: Calendar calculations in transparent and opaque systems by Ziyi Zhuang, Norbert Vanek

“…In systems like English, calendar labels are largely opaque (Tuesday, August), which invites calculations to rely more heavily on verbal listing. …”
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Interior design assistant algorithm based on indoor scene analysis by Lu Zhang

“…In addition, to reduce the dependence on manually labeled data, an unsupervised cooperative segmentation algorithm is proposed, which realizes automatic image semantic segmentation through the segmentation process from superpixel to block and then to object. …”
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Deep learning-assisted arrhythmia classification using 2-D ECG spectrograms by Pinjala N Malleswari, Venkata krishna Odugu, T. J. V. Subrahmanyeswara Rao, T. V. N. L. Aswini

“…The proposed pre-trained network combines an Imagenet with huge labeled image datasets and a separate network composed of fully connected layers. …”
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Intelligent characterization of ultra-deep carbonate strike-slip fault zones based on 3DResNeSt-UNet: a case study of the YueMan Block in the Tarim Basin by Jin Hu, Shouyu Xu

“…This network integrates the 3DUNet and ResNeSt modules, using synthetic 3D seismic data and its corresponding label data as inputs for training. The synthetic seismic data incorporates geological knowledge and geological body parameters. …”
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Document-level relation extraction via dual attention fusion and dynamic asymmetric loss by Xiaoyao Ding, Dongyan Ding, Gang Zhou, Jicang Lu, Taojie Zhu

“…To alleviate the hard-thresholds influence from positive–negative imbalance samples, we dynamically adjust weights to optimize the probabilities of different labels. We evaluate our model on two benchmark document-level RE datasets, DocRED and CDR. …”
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Critiquing representations of intellectual disability in occupation-based literature by Rachel Reparon, Pamela Block, Ann Fudge Schormans, Debbie Laliberte Rudman, Gail Teachman

“…It considers the influence of such representations on the occupational possibilities of people labelled intellectually disabled.Methods This review employed a critical interpretive synthesis of 21 peer-reviewed articles from occupational therapy and occupational science that focused on intellectual disability.Results Three analytic threads were identified as contributing to how intellectual disability was represented across the reviewed literature: habilitating expected doings, becoming productive citizens, and activated, but insufficient.Conclusion & significance Occupation-based discourses have powerful influence within society, particularly within occupational therapy, regarding understandings of intellectual disability and how these shape occupational possibilities for persons labelled intellectually disabled. …”
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Elements for a social history of american social sciences: A chronicle by Ione Ribeiro Valle, Tiago Ribeiro Santos

“…Winkin presents elements of Goffman's intellectual itinerary, such as the professors who marked his formation, the problems related to academic recognition in the American university field, and his challenges against the symbolic interactionist label.…”
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Weed Control in Parsley by William M. Stall

“…This publication updates the 2003 tables to reflect current recommendations and clarifies the separate labeling for cilantro. Published by the UF Department of Horticultural Sciences, October 2006. …”
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Weed Control in Parsley by William M. Stall

“…This publication updates the 2003 tables to reflect current recommendations and clarifies the separate labeling for cilantro. Published by the UF Department of Horticultural Sciences, October 2006. …”
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Exosomal miR-222-3p derived from dermal papilla cells inhibits melanogenesis in melanocytes by targeting SOX10 in rabbits by Yang Chen, Tingting Lu, Yingying Dai, Yu Xue, Bohao Zhao, Xinsheng Wu

“…The transmission of DPCs-secreted exosomal miR-222-3p to MCs was demonstrated using Cy3-labeled miR-222-3p in conjunction with transwell assays. …”
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When Remote Sensing Meets Foundation Model: A Survey and Beyond by Chunlei Huo, Keming Chen, Shuaihao Zhang, Zeyu Wang, Heyu Yan, Jing Shen, Yuyang Hong, Geqi Qi, Hongmei Fang, Zihan Wang

“…Most deep-learning-based vision tasks rely heavily on crowd-labeled data, and a deep neural network (DNN) is usually impacted by the laborious and time-consuming labeling paradigm. …”
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Rolling Bearing Fault Diagnosis Based on Domain Adaptation and Preferred Feature Selection under Variable Working Conditions by Xiao Yu, Wei Chen, Chuanlong Wu, Enjie Ding, Yuanyuan Tian, Haiwei Zuo, Fei Dong

“…To address this problem, a novel bearing fault diagnosis framework based on domain adaptation and preferred feature selection is proposed, in that the model trained by the labeled data collected from a working condition can be applied to diagnose a new but similar target data collected from other working conditions. …”
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A Novel FS-GAN-Based Anomaly Detection Approach for Smart Manufacturing by Tae-yong Kim, Jieun Lee, Seokhyun Gong, Jaehoon Lim, Dowan Kim, Jongpil Jeong

“…However, collecting and labeling sufficient data to detect anomalies is time-intensive, and abnormal data are rare, leading to data imbalances. …”
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Latent space improved masked reconstruction model for human skeleton-based action recognition by Enqing Chen, Xueting Wang, Xin Guo, Ying Zhu, Dong Li

“…The experiment results on the NTU-60 and NTU-120 datasets demonstrate that our proposed method can effectively improve the classification accuracy of the encoder in classification tasks and its generalization ability in the case of few labeled data. SkeletonMVAE exhibits stronger classification ability, while SkeletonMVQVAE exhibits stronger generalization in situations with fewer labeled data.…”
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System Design for a Prototype Acoustic Network to Deter Avian Pests in Agriculture Fields by Destiny Kwabla Amenyedzi, Micheline Kazeneza, Ipyana Issah Mwaisekwa, Frederic Nzanywayingoma, Philibert Nsengiyumva, Peace Bamurigire, Emmanuel Ndashimye, Anthony Vodacek

“…The sounds of pest bird species were identified and labeled. The labeled data were used in Edge Impulse to train a tinyML Conv1D model to detect birds of interest. …”
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Cost-Sensitive Self-Paced Learning With Adaptive Regularization for Classification of Image Time Series by Hao Li, Jianzhao Li, Yue Zhao, Maoguo Gong, Yujing Zhang, Tongfei Liu

“…In addition, it is very difficult to collect reliable labeled samples with changed or unchanged categories between the source domain and the target domain in the case of a large number of training samples. …”
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Minimizing Honey Bee Exposure to Pesticides by James D. Ellis, Jeanette Klopchin, Eileen Buss, Frederick M. Fishel, William H. Kern, Catharine Mannion, Eugene McAvoy, Lance S. Osborne, Michael Rogers, Malcolm Sanford, Hugh Smith, Phillip Stansly, Lukasz Stelinski, Susan Webb

“…Potential exposure of bees to pesticides can vary greatly depending on the type of pesticide, formulation, application method, label restrictions, and other factors. The goal in using a pesticide is to achieve maximum benefit (success) with minimum negative impact, and these factors should always be considered in pesticide selection. …”
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