Named entity recognition based on span and category enhancement for Chinese news by QI Ruiyan, LI Longjie, XU Shicheng, MA Ligong, MA Zhixin

“…Furthermore, word boundary information was introduced through precise labeling, and the entity matching strategy was optimized, effectively reducing non-entity matching caused by span decoding. …”
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Numerical and Scientific Investigation of Some Molecular Structures Based on the Criterion of Super Classical Average Assignments by A. Rajesh Kannan, Nazek Alessa, K. Loganathan, Balachandra Pattanaik

“…Numerous graph assignment techniques, including distance-based labeling, topological indices, and spectral graph theory, can be used to investigate molecule structures. …”
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Recommendations for Control and Mitigation of Laurel Wilt and Ambrosia Beetle Vectors in Commercial Avocado Groves in Florida by Jonathan Henry Crane, Daniel Carrillo, Edward A. Evans, Romina Gazis, Bruce A Schaffer, Fredy H Ballen Orozco, Jeff Wasielewski

“…Correction as of 3/30/2020: Under "Prophylactic Fungicide Injections," this document previously said that when using Tilt, growers needed to have in their possession a Section 18 special local needs label (SLN). This has been corrected to read that they need a Section 18 Emergency Exemption label. …”
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Cellular MR Imaging by Michel Modo, Mathias Hoehn, Jeff W.M. Bulte

“…In order to provide a different signal intensity of the targeted cell, they are either labeled with MR contrast agents in vivo or prelabeled in vitro. …”
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Promoted read-through and mutation against pseudouridine-CMC by an evolved reverse transcriptase by Zhiyong He, Weiqi Qiu, Huiqing Zhou

“…This work provides methods and datasets for biological research of Ψ, and expands the toolkit for epitranscriptomic studies by combining the reverse transcriptase engineering and selective chemical labeling strategies.…”
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Automatic Bandwidth Adjustment for Content Distribution in MPLS Networks by D. Moltchanov

“…Aggregates of real-time traffic may experience changes in their statistical characteristics often manifesting non stationary behavior. In multi protocol label switching (MPLS) networks this type of the traffic is assigned constant amount of resources. …”
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Research on unsupervised domain adaptive bearing fault diagnosis method by WU ShengKai, SHAO Xing, WANG CuiXiang, GAO Jun

“…Aiming at the problem that the bearing fault diagnosis algorithm based on deep learning has poor diagnosis performance when the fault samples are lack of labels in different working conditions and real environmentsly, an unsupervised domain adaptive bearing fault diagnosis method was proposed to realize the unsupervised fault diagnosis of bearings under different working conditions. …”
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Adaptive diagnosis method based on gearbox unbalanced fault data by TIAN Juan, XIE Gang, ZHANG Shun, WANG Yufei

“…ObjectiveThe existing intelligent fault diagnosis methods face challenges, such as model training relying on a large amount of labeled data, difficulty in obtaining fault data with different occurrence probabilities, and insufficient consideration of the impact of operating conditions. …”
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Active Learning for Constrained Document Clustering with Uncertainty Region by M. A. Balafar, R. Hazratgholizadeh, M. R. F. Derakhshi

“…In each iteration, first, the support vector machine (SVM) is utilized based on the label produced by the current clustering. According to the distance of each document from the hyperplane, the distance matrix is created. …”
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Disproportionate adverse event signals of selumetinib in neurofibromatosis type I: insights from FAERS by Lin Li

“…Notably, several adverse events, including rhabdomyolysis, were identified but not listed on the Selumetinib product label, based on a comparison with the FDA drug labeling.ConclusionThe study underscores the importance of early detection and management of adverse reactions associated with Selumetinib, particularly within the initial month of treatment. …”
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Metric-based learning approach to botnet detection with small samples by Honggang LIN, Junjing ZHU, Lin CHEN

“…Botnets pose a great threat to the Internet, and early detection is crucial for maintaining cybersecurity.However, in the early stages of botnet discovery, obtaining a small number of labeled samples restricts the training of current detection models based on deep learning, leading to poor detection results.To address this issue, a botnet detection method called BT-RN, based on metric learning, was proposed for small sample backgrounds.The task-based meta-learning training strategy was used to optimize the model.The verification set was introduced into the task and the similarity between the verification sample and the training sample feature representation was measured to quickly accumulate experience, thereby reducing the model’s dependence on the labeled sample space.The feature-level attention mechanism was introduced.By calculating the attention coefficients of each dimension in the feature, the feature representation was re-integrated and the importance attention was assigned to optimize the feature representation, thereby reducing the feature sparseness of the deep neural network in small samples.The residual network design pattern was introduced, and the skip link was used to avoid the risk of model degradation and gradient disappearance caused by the deeper network after increasing the feature-level attention mechanism module.…”
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Data augmentation scheme for federated learning with non-IID data by Lingtao TANG, Di WANG, Shengyun LIU

“…To solve the problem that the model accuracy remains low when the data are not independent and identically distributed (non-IID) across different clients in federated learning, a privacy-preserving data augmentation scheme was proposed.Firstly, a data augmentation framework for federated learning scenarios was designed.All clients generated synthetic samples locally and shared them with each other, which eased the problem of client drift caused by the difference of clients’ data distributions.Secondly, based on generative adversarial network and differential privacy, a private sample generation algorithm was proposed.It helped clients to generate informative samples while preserving the privacy of clients’ local data.Finally, a differentially private label selection algorithm was proposed to ensure the labels of synthetic samples will not leak information.Simulation results demonstrate that under multiple non-IID data partition strategies, the proposed scheme can consistently improve the model accuracy and make the model converge faster.Compared with the benchmark approaches, the proposed scheme can achieve at least 25% accuracy improvement when each client has only one class of samples.…”
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On the Klein–Gordon scalar field oscillators in a spacetime with spiral-like dislocations in external magnetic fields by Omar Mustafa, Abdullah Guvendi

“…Abstract We investigate the effects of two types of spiral dislocation (the distortion of the radial line, labeled as spiral dislocation I, and the distortion of a circle, labeled as spiral dislocation II) on the relativistic dynamics of the Klein–Gordon (KG) oscillator fields, both in the presence and absence of external magnetic fields. …”
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Examining transaction-specific satisfaction and trust in Airbnb and hotels. An application of BERTopic and Zero-shot text classification by Manuel Rey-Moreno, Manuel Jesús Sánchez-Franco, María De la Sierra Rey-Tienda

“…Secondly, our analysis applies a Zero-shot classification approach for classifying guest reviews into labels related to guests' satisfaction and trust. …”
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New Antibody Conjugates in Cancer Therapy by Serengulam V. Govindan, David M. Goldenberg

“…The advantage of pretargeted RAIT over directly labeled MAbs is continuing to be validated in preclinical models of lymphoma and solid tumors. …”
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Strategies for the Development of Bioprotective Cultures in Food Preservation by Luana Virgínia Souza, Evandro Martins, Isabella Maria Fernandes Botelho Moreira, Antônio Fernandes de Carvalho

“…The trend called “Clean Label” has stimulated the development and commercialization of new types of bioprotective bacterial cultures. …”
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Vida Saludable: Etiquetas de suplementos dietéticos by Karla P. Shelnutt

“…This revised 1-page handout is the Spanish-language version of FCS8854/FY1035: Healthy Living: Dietary Supplement Labels Word Search. It was written by Karla P. Shelnutt and published by the UF Department of Family, Youth and Community Sciences, September 2011.   …”
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Vida Saludable: Etiquetas de suplementos dietéticos by Karla P. Shelnutt

“…This revised 1-page handout is the Spanish-language version of FCS8854/FY1035: Healthy Living: Dietary Supplement Labels Word Search. It was written by Karla P. Shelnutt and published by the UF Department of Family, Youth and Community Sciences, September 2011.   …”
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Connectivity of Semicartesian Products by Metrose Metsidik, Helin Gong

“…Semicartesian product is defined on the basis of two special bipartite graphs and labeling of their vertices, and it has a pleasing property that it is composed of hexagonal structures. …”
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Development of a method for simultaneous analysis of glycosaminoglycan disaccharides and evaluating the quality of chondroitin sulfate and hyaluronic acid in food raw materials by Kengo Hirai, Takamasa Ishii, Ayaka Aijima, Nae Yokota, Yasuhisa Miyamoto, Kyohei Higashi, Yusuke Iwasaki, Rie Ito, Nobuaki Higashi, Hiroshi Akiyama

“…Quantitative analyses of CS and HA in commercially available raw materials were consistent with labeled purity. Disaccharide composition analysis suggested that the origin stated on the label was accurate. …”
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