Discovery of potent allosteric antibodies inhibiting EGFR by Léxane Fournier, Lukas Pekar, Birgitta Leuthner, Harald Kolmar, Lars Toleikis, Stefan Becker

“…After immunization and yeast surface display library construction, allosteric clones were obtained by introducing the labeled EGF Fc fusion protein as an additional criterion for FACS. …”
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Volatile Profile Characterization of Winter Jujube from Different Regions via HS-SPME-GC/MS and GC-IMS by Yening Qiao, Jinfeng Bi, Qinqin Chen, Xinye Wu, Min Gou, Haonan Hou, Xinwen Jin, Giorgia Purcaro

“…The volatile organic compounds of winter jujubes from Yuncheng city, Shanxi province, and Aksu region, Xinjiang province, were significantly different from those from other regions. 1-Penten-3-ol, ethyl hexanoate, methyl laurate, and 2-formyltoluene were the markers of XJAKS with green and fruity aroma, and SXYC could be labeled by acetone and 2-methoxyphenol with woody and pungent aroma. …”
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Multi-View Prototypical Transport for Unsupervised Domain Adaptation by Sunhyeok Lee, Dae-Shik Kim

“…Unsupervised Domain Adaptation (UDA) methods struggle to bridge the gap between a labeled source domain and an unlabeled target domain, particularly due to the rigidity of deep feature representations derived from the penultimate layer of backbone feature extractors. …”
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Semi-Supervised Hybrid Local Kernel Regression for Soft Sensor Modelling of Rubber-Mixing Process by Haiqing Yu, Jun Ji, Ping Li, Fengjing Shao, Shunyao Wu, Yi Sui, Shujing Li, Fengjiao He, Jinming Liu

“…Meanwhile, traditional global learning algorithms suffer from the outdated samples while online learning algorithms lack practicality since too many labelled samples of current batch are required to build the soft sensor. …”
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Enhancing Beef Hamburger Quality: A Comprehensive Review of Quality Parameters, Preservatives, and Nanoencapsulation Technologies of Essential and Edible Oils by Tainara Santos Oliveira, Rogeria Comastri de Castro Almeida, Vanessa de Lima Silva, Cláudio Vaz Di Mambro Ribeiro, Leilson Rocha Bezerra, Camila Duarte Ferreira Ribeiro

“…This preservative action meets the demand for clean labels and safe products, aiming to replace synthetic additives that pose potential health risks. …”
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Neural network for step anomaly detection in head motion during fMRI using meta-learning adaptation by N.S. Davydov, V.V. Evdokimova, P.G. Serafimovich, V.I. Protsenko, A.G. Khramov, A.V. Nikonorov

“…A procedure for generating a synthetic dataset for training and a module for automated labeling of real data is developed. A recurrent neural network model for detecting step anomalies is proposed. …”
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Antibiotic, Pesticide, and Microbial Contaminants of Honey: Human Health Hazards by Noori Al-Waili, Khelod Salom, Ahmed Al-Ghamdi, Mohammad Javed Ansari

“…Ingestion of honey without knowing its source and safety might be problematic. Honey should be labeled to explore its origin, composition, and clear statement that it is free from contaminants. …”
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Antivascular Endothelial Growth Factor Agents for Neovascular Age-Related Macular Degeneration by Ilias Zampros, Anna Praidou, Periklis Brazitikos, Panagiotis Ekonomidis, Sofia Androudi

“…Another humanized monoclonal antibody is currently off-label used, bevacizumab. This paper aims to discuss in details the effectiveness, the efficacy and safety of these three anti-VEGF agents. …”
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Efficacy of an Anthocyanin and Prebiotic Blend on Intestinal Environment in Obese Male and Female Subjects by Shelly N. Hester, Angela Mastaloudis, Russell Gray, Joseph M. Antony, Mal Evans, Steven M. Wood

“…Objectives. An 8-week open-label study in male and female volunteers with uncomplicated obesity was designed to study the efficacy of an anthocyanin and prebiotic blend in modulating intestinal microbiota and intestinal inflammation. …”
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Novel Ensemble Approach with Incremental Information Level and Improved Evidence Theory for Attribute Reduction by Peng Yu, Yifeng Zheng, Ziwen Liu, Baoya Wei, Wenjie Zhang, Ziqiong Lin, Zhehan Li

“…The existing attribute reduction approaches focus on the correlation between attributes and labels without considering the redundancy. To address the above problem, we propose an ensemble approach based on an incremental information level and improved evidence theory for attribute reduction (IILE). …”
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A Radiograph Dataset for the Classification, Localization, and Segmentation of Primary Bone Tumors by Shunhan Yao, Yuanxiang Huang, Xiaoyu Wang, Yiwen Zhang, Ian Costa Paixao, Zhikang Wang, Charla Lu Chai, Hongtao Wang, Dinggui Lu, Geoffrey I Webb, Shanshan Li, Yuming Guo, Qingfeng Chen, Jiangning Song

“…The BTXRD dataset comprises 3,746 bone images (1,879 normal and 1,867 tumor), with clinical information and global labels available for each image, and distinct mask and annotated bounding box for each tumor instance. …”
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Association of Acinetobacter baumannii EF-Tu with Cell Surface, Outer Membrane Vesicles, and Fibronectin by Shatha F. Dallo, Bailin Zhang, James Denno, Soonbae Hong, Anyu Tsai, Williams Haskins, Jing Yong Ye, Tao Weitao

“…EF-Tu in the OM and the OMV subproteomes bound to fibronectin as detected by Western blot and confirmed by a label-free real-time optical sensor. The sensor that originates from photonic crystal structure in a total-Internal-reflection (PC-TIR) configuration was functionalized with fibronectin for characterizing EF-Tu binding. …”
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Incorporation and Effect of Arachidonic Acid on the Growth of Human Myeloma Cell Lines by V. Desplat, C. Dulery, V. Praloran, Y. Denizot

“…Prelabeling-chase experiments indicate no trafficking of labeled AA among the various phospholipid species. …”
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The effects of prenatal deaths on national life expectancy: case study U.S.A. by Madeleine R. Hollman, Joshua Pearce

“…Results: It is evident that published U.S. life expectancies are greatly exaggerated, and what would have been short-lived Americans are disproportionately labeled as socially undesirable and ignored when counting life years, thus presenting an overly optimistic view of U.S. health. …”
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Demographic modeling of transient amplifying cell population growth by Shinji Nakaoka, Hisashi Inaba

“…Quantitative measurement for the timings of cell division and death with the application of mathematical models is a standard way to estimate kinetic parameters of cellular proliferation. On the basis of label-based measurement data, several quantitative mathematical models describing short-term dynamics of transient cellular proliferation have been proposed and extensively studied. …”
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Prediction the Choice of Financing for Start-ups using Machine Learning Algorithms and Behavioral Biases by Naimeh Niazi, Hamideh Razavi

“…Based on 70 responses received and using algorithms including binary matching, classification chains, label power set, K-nearest neighbors, extreme gradient boosting, cluster boosting algorithm and random forest, the financing methods chosen by startups were predicted. …”
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Bearing Fault Diagnosis Based on Multilayer Domain Adaptation by Bingru Yang, Qi Li, Liang Chen, Changqing Shen

“…The multikernel maximum mean discrepancy (MK-MMD) and pseudo-label learning are adopted in multiple layers to take both marginal distributions and conditional distributions into consideration. …”
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A Performance Comparison of Centralized and Distributed Spectrum Management Techniques in Elastic Optical Networks by Tushar Mathur, Gokhan Sahin, Donald R. Ucci

“…A network simulator for Generalized Multiprotocol Label Switching (GMPLS) was developed with Forward Reservation Protocol and Backward Reservation Protocol signaling methods. …”
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Classification of User Expressions on Social Media Using LSTM and GRU Models by I Gede Putra Mas Yusadara, I Gusti Ayu Desi Saryanti

“…It consists of two main columns: text and label, with the latter categorized into six groups. …”
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A Novel and Robust Method for Investigating Fungal Biofilm by Biswambhar Biswas, Shumaiza Asif, Rekha Puria, Anil Thakur

“…Candida auris, labeled an urgent threat by the CDC, shows significant resilience to treatments and disinfectants via biofilm formation, complicating treatment/disease management. …”
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