Sleeve Gastrectomy and Roux-en-Y Gastric Bypass Alter the Gut-Brain Communication by L. A. Ballsmider, A. C. Vaughn, M. David, A. Hajnal, P. M. Di Lorenzo, K. Czaja

“…There was no difference in the number of FB-labeled neurons located in NG and DMV between VSG and VSG-sham rats. …”
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Few-Shot Graph Anomaly Detection via Dual-Level Knowledge Distillation by Xuan Li, Dejie Cheng, Luheng Zhang, Chengfang Zhang, Ziliang Feng

“…These soft labels are then employed to construct the corresponding loss for training a student model, which can capture more detailed node features. …”
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ParasitoBank dataset for diagnosing intestinal parasitism: Helminths and protozoa in coprological samplesMendeley Data by Jader Alejandro Muñoz Galindez, Luis Reinel Vásquez Arteaga, Rubiel Vargas Cañas

“…Finally, the entire dataset and label content have been arranged in a compressed file. …”
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Magnetic Targeted Delivery of Induced Pluripotent Stem Cells Promotes Articular Cartilage Repair by Shinji Kotaka, Shigeyuki Wakitani, Akira Shimamoto, Naosuke Kamei, Mikiya Sawa, Nobuo Adachi, Mituo Ochi

“…Consequently, we investigated the effect of magnetically labeled iPS (m-iPS) cells delivered into an osteochondral defect by magnetic field on the repair of articular cartilage. iPS cells were labeled magnetically and assessed for maintenance of pluripotency by their ability to form embryoid bodies in vitro and to form teratomas when injected subcutaneously into nude rats. …”
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Muslim-Consumers Behaviour in Willingness to Buy Halal Food in Japan by Inayah Swasti Ratih, Muhammad Dzulfaqori Jatnika, Alfadhila Khairil Sinatrya, Nur Syamsiyah

“…The purpose of this study is to determine the effect of religiosity, food ingredients, halal label, knowledge, and income on the willingness of Indonesian Muslim consumers in Japan to buy Halal Food Products. …”
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Evidence for Transfer of Membranes from Mesenchymal Stem Cells to HL-1 Cardiac Cells by Robert A. Boomsma, David L. Geenen

“…When HL-1 cells were labeled with calcein and MSC with DiO, MSC gained calcein while HL-1 cells gained DiO. …”
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A Deep Transfer Learning Method for Bearing Fault Diagnosis Based on Domain Separation and Adversarial Learning by Shoubing Xiang, Jiangquan Zhang, Hongli Gao, Dalei Shi, Liang Chen

“…In engineering practice, it is often difficult or even impossible to obtain a large amount of labeled data from some machines, and an intelligent diagnostic method trained by labeled data from one machine may not be able to classify unlabeled data from other machines, strongly hindering the application of these intelligent diagnostic methods in certain industries. …”
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Canonization of graphs during transistor circuits decompilation by D. I. Cheremisinov, L. D. Cheremisinova

“…The problem is reduced to checking the isomorphism of labeled graphs defining circuits on transistor level by canonizing them and comparing canonical labeling. …”
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Carboxylated Graphene: An Innovative Approach to Enhanced IgA-SARS-CoV-2 Electrochemical Biosensing by Luciana de Souza Freire, Ariamna María Dip Gandarilla, Yonny Romaguera Barcelay, Camila Macena Ruzo, Barbara Batista Salgado, Ana P. M. Tavares, Francisco Xavier Nobre, Julio Nino de Souza Neto, Spartaco Astolfi-Filho, Ștefan Țălu, Pritesh Lalwani, Niranjan Patra, Walter Ricardo Brito

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Restricted Use Pesticides by Frederick M. Fishel

“…When a pesticide is classified as restricted, the label will state "Restricted Use Pesticide" at the top of the front panel. …”
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Hardware Architecture for Real-Time Computation of Image Component Feature Descriptors on a FPGA by Abdul Waheed Malik, Benny Thörnberg, Muhammad Imran, Najeem Lawal

“…This paper describes a hardware architecture for real-time image component labeling and the computation of image component feature descriptors. …”
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The Efficacy of Mesenchymal Stem Cell Transplantation in Caustic Esophagus Injury: An Experimental Study by Murat Kantarcioglu, Bahadir Caliskan, Hakan Demirci, Ozgur Karacalioglu, Murat Kekilli, Zulfikar Polat, Armagan Gunal, Melih Akinci, Cagri Uysal, Sami Eksert, Hasan Gurel, Gurkan Celebi, Ferit Avcu, Ali Ugur Ural, Sait Bagci

“…Group 1, untreated controls (n: 10). Group 2, membrane labeled MSCs-treated rats (n: 20). Group 3, biodistribution of fluorodeoxyglucose labeled MSCs via positron emission tomography (PET) imaging (n: 10). …”
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MPAR-RCNN: a multi-task network for multiple person detection with attribute recognition by S. Raghavendra, S. K. Abhilash, Venu Madhav Nookala, Jayashree Shetty, Praveen Gurunath Bharathi

“…Multi-label attribute recognition is a critical task in computer vision, with applications ranging across diverse fields. …”
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A Y178C rhodopsin mutation causes aggregation and comparatively severe retinal degeneration by Sreelakshmi Vasudevan, Paul S.–H. Park

“…Aggregates of the Y178C rhodopsin mutant labeled by the dye PROTEOSTAT were morphologically similar to those formed by both the P23H and G188R rhodopsin mutants. …”
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Attention-based interactive multi-level feature fusion for named entity recognition by Yiwu Xu, Yun Chen

“…Finally, the fused features are fed into the sequence labeling layer to predict the word labels. We conducted generous comparative experiments on three datasets, and the experimental results showed that our model achieved better performance than several state-of-the-art models.…”
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Peer-review Blinded Assay Test (P-BAT): a framework for trustless laboratory quality assurance for state-regulated cannabis markets by Stuart Procter, Grayson L. Baird, Jason Iannuccilli

“…The following proposed framework called the Peer-review Blinded Assay Test (P-BAT), is a validation process where each laboratory tests products from competing labs and their own lab, but in a blinded fashion to ensure that the label values of said products and the labs that produced said labels, are unknown. …”
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Altered Thyroid Function Tests Observed in Hypophosphatasia Patients Treated with Asfotase Alfa by Hajime Kato, Naoko Hidaka, Minae Koga, Yuka Kinoshita, Masaomi Nangaku, Noriko Makita, Nobuaki Ito

“…Thyroid hormone levels measured using five different immunoassays with or without ALP as a labeling enzyme during asfotase alfa treatment were evaluated. …”
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Fast Detection of Deceptive Reviews by Combining the Time Series and Machine Learning by Minjuan Zhong, Zhenjin Li, Shengzong Liu, Bo Yang, Rui Tan, Xilong Qu

“…Therefore, by focusing on the detection efficiency problem and the limitation of large amount of labeled examples dependence, in this paper, we proposed an effective semisupervised learning approach for detecting spam reviews. …”
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Automated karyogram analysis for early detection of genetic and neurodegenerative disorders: a hybrid machine learning approach by Sumaira Tabassum, M. Jawad Khan, Javaid Iqbal, Asim Waris, M. Adeel Ijaz

“…The development of automated models requires extensive labeled and incredibly abnormal data to accurately identify and analyze abnormalities, which are difficult to obtain in sufficient quantities. …”
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Conditional Random Fields and Supervised Learning in Automated Skin Lesion Diagnosis by Paul Wighton, Tim K. Lee, Greg Mori, Harvey Lui, David I. McLean, M. Stella Atkins

“…The first model is based on independent pixel labeling using maximum a-posteriori (MAP) estimation. …”
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