Evaluation of [Cu]Cu-DOTA and [Cu]Cu-CB-TE2A Chelates for Targeted Positron Emission Tomography with an αβ-Specific Peptide by Sven H. Hausner, David L. Kukis, M. Karen J. Gagnon, Catherine E. Stanecki, Riccardo Ferdani, John F. Marshall, Carolyn J. Anderson, Julie L. Sutcliffe

“…Despite identical targeting peptide moiety and largely equal in vitro behavior, both 64 Cu-labeled tracers displayed inferior pharmacokinetics, making them in their present form less suitable candidates than the 18 F-labeled tracer for in vivo imaging of α v β 6…”
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Face recognition under unconstrained based on LBP and deep learning by Shu-fen LIANG, Yin-hua LIU, Li-chen LI

“…At last, the trained net was used to predict the test samples' labels. The results of experiments on LFW(labeled faces in the wild) show that the algorithm can obtain higher recognition rate than traditional algorithms(such as PCA, SVM, LBP).Otherwise, the recognition rate on Yale and Yale-B are also very high, the experi-mental results show that deep learning net with LBP texture as its input can classify face images correctly.…”
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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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Quantitative Magnetic Resonance Imaging of Enzyme Activity on the Cell Surface: In Vitro and In Vivo Monitoring of ADP-Ribosyltransferase 2 on T Cells by Peter Bannas, Oliver Graumann, Philipp Balcerak, Kersten Peldschus, Michael Gerhard Kaul, Heinrich Hohenberg, Friedrich Haag, Gerhard Adam, Harald Ittrich, Friedrich Koch-Nolte

“…To mimic an inflammatory site in vivo, Ab-SPIO-labeled cells were injected subcutaneously in mice and analyzed by MRI. …”
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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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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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« Going limp » : Usages et mises en scène de la vulnérabilité comme stratégie militante lors d’actions désobéissantes aux États-Unis by Charlotte Thomas Hébert

“…These labels also tend to erase agency and portray civil disobedience as a moral and selfless act, which contributes to depoliticizing the practice. …”
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Study on user behavior profiling in insider threat detection by Yuanbo GUO, Chunhui LIU, Jing KONG, Yifeng WANG

“…Behavior profiling technic using no-labeled historical data to build normal behavior model is an effective way to detect insider attackers. …”
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Kernelized correlation tracking based on point trajectories by Yunqiu LYU, Kai LIU, Fei CHENG

“…Visual tracking is one of the most important directions in computer vision.However,many state-of-the-art algorithms cannot track the interested object reliably due to occlusion during tracking process,which leads to deficiency of object information.In order to solve occlusion problem,a kernelized correlation tracking method based on point trajectories was proposed.Through analyzing long-term motion cues of the local information,point trajectories were labeled by spectral clustering.These labeled points were used to differentiate the foreground and background objects and thus detect whether the target was occluded or drifts.If drifting and occlusion occur,re-detection was used to detect the re-entering of the target.Experimental results show that the proposed algorithm can handle occlusion and drifting problems effectively.…”
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Study on enhancing integrity for BLP model by LIU Yan-ming, DONG Qing-kuan, LI Xiao-ping

“…A model which enhances the integrity of BLP model was presented based on the BLP model.This model was called as EIBLP model.Some necessary restraints to upward information flow were appended in EIBLP without chang-ing the information flow direction（down-read and up-write） of BLP model and the security axiom,access labels of sub-ject and object,access control operation mode,and state transition policy of BLP model were improved.And then,ana-lyzes the security of EIBLP was analyzed and proved.It shows that the improved EIBLP model not only satisfies com-pletely the basic security of BLP,but also enhances the integrity of BLP with improving the upward restraints,the subject and object access labels,the model operation mode,and the model state translation rules.At the same time,the improved EIBLP raises the confidentiality of BLP at a certain extent.…”
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Nanotechnology and Tumor Imaging: Seizing an Opportunity by Daniel C. Sullivan, Mauro Ferrari

“…Nanoparticles, labeled with a signaling moiety for in vivo imaging, and one or more ligands for molecularly targeted specificity, hold considerable promise in oncology. …”
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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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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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Multiple Focal Nodular Hyperplasia and Steatohepatitis: Atypical Imaging Characteristics by Robert P Myers, Dónal Downey, Subrata Chakrabarti, Paul J Marotta

“…This case illustrates the usefulness of the 99mtechnetium-labelled sulphur colloid scan in the evaluation of patients with hepatic lesions.…”
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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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EduDCM: A Novel Framework for Automatic Educational Dialogue Classification Dataset Construction via Distant Supervision and Large Language Models by Changyong Qi, Longwei Zheng, Yuang Wei, Haoxin Xu, Peiji Chen, Xiaoqing Gu

“…However, the scarcity of annotated data and the high cost of manual labeling pose significant challenges, especially in low-resource educational contexts. …”
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Diagnosis of approximal caries in children with convolutional neural networks based detection algorithms on radiographs: A pilot study by Zeynep Seyda Yavsan, Hediye Orhan, Enes Efe, Emrehan Yavsan

“…Various augmentation methods were used, and approximal caries in the augmented images were labeled by a pediatric dentist to minimize labeling errors. …”
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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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