Two-stage community detection algorithm based on label propagation by Xueliang SUN, Wei WANG, Junheng HUANG, Guodong XIN, Bailing WANG

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Open-label use of Anakinra (Kineret) in the treatment of patients with osteoarthritis by Craig Davis Scoville, John Partridge Dickson

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Fumigant and Non-Fumigant Nematicides Labeled for Agronomic Crops in Florida by Zane Grabau

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The Caffeine Content of Energy Drinks in accordance with the Information on the Package Label by Said Kudema, Claus Thomas, Helena Ngowi

“…Six different brands of energy drinks (EDs) were analyzed to determine the concentration of caffeine in accordance with the information on the package label. Approximately 28.1 milligrams per 100 milliliters (mg/100 ml) of caffeine was present in the Mo energy drink brand, which was nearly 1.5 times the caffeine concentration listed on the product label. …”
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CRF combined with ShapeBM shape priors for image labeling by Hao WANG, Lijun GUO, Yadong WANG, Rong ZHANG

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PET imaging of 52Mn labeled DOTATATE and DOTAJR11 by James M. Omweri, Hailey A. Houson, Shannon E. Lynch, Volkan Tekin, Anna G. Sorace, Suzanne E. Lapi

“…The goal of this study was to label both DOTATATE and DOTA-JR11 peptides with 52Mn in high radiochemical yields (RCY) and sufficient specific activity. …”
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A Label-Free Colorimetric Aptasensor for Flavokavain B Detection by Sisi Ke, Ningrui Wang, Xingyu Chen, Jiangwei Tian, Jiwei Li, Boyang Yu

“…To demonstrate its practical utility, a rapid and label-free colorimetric aptasensor was developed based on aptamer-induced gold nanoparticle aggregation. …”
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FlashTag-mediated Labeling for Intraventricular Macrophages in the Embryonic Brain by Hisa Asai, Mizuki Ono, Takaki Miyata, Yuki Hattori

“…Various methods are used in fate mapping, including dye injections, genetic labeling (e.g., Cre-lox recombination systems), and molecular markers to label cells and track their progeny. …”
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Comparative analysis of generative LLMs for labeling entities in clinical notes by Rodrigo del Moral-González, Helena Gómez-Adorno, Orlando Ramos-Flores

“…We used a publicly available set of clinical cases labeled with mentions of diseases, symptoms, and medical procedures for the evaluation. …”
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Multi-label feature selection based on dynamic graph Laplacian by Yonghao LI, Liang HU, Ping ZHANG, Wanfu GAO

Subjects: “…multi-label feature selection…”
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On‐chip label‐free impedance‐based detection of antibiotic permeation by Jaspreet Kaur, Hamed Ghorbanpoor, Yasin Öztürk, Özge Kaygusuz, Hüseyin Avcı, Cihan Darcan, Levent Trabzon, Fatma D. Güzel

“…Herein, for the rapid and label‐free detection of antibiotic permeation across a membrane, a microelectrode integrated microfluidic device is presented. …”
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Node selection based on label quantity information in federated learning by Jiahua MA, Xinghua SUN, Wenchao XIA, Xijun WANG, Hongzhou TAN, Hongbo ZHU

“…Aiming at the problem that the difference of node data distribution has adverse effect on the performance of federated learning algorithm, a node selection algorithm based on label quantity information was proposed.An optimization objective based on the label quantity information of nodes was designed, considering the optimization problem of selecting the nodes with balanced label distribution under a certain time consumption limit.According to the correlation between the aggregated label distribution of selected nodes and the convergence of the global model, the upper bound of the weight divergence of the global model was reduced to improve the convergence stability of the algorithm.Simulation results shows that the new algorithm had higher convergence efficiency than the existing node selection algorithm.…”
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Infrared thermal modulation endoscopy for label-free tumor detection by Suhyeon Kim, Gyungseok Oh, Young Ro Kim, Euiheon Chung, Hyuk-Sang Kwon

“…Through the introduction of this label-free technology, Infrared Thermal Modulation Endoscopy (ITME), our study showcased an effective method for optically delineating and assessing solid tumors. …”
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Zero power light labeling based on visible light communication by Tianyang MA, Xiongbin CHEN, Yiwu XU

“…In order to achieve zero energy consumption of visible light labels, MATLAB and MULTISIM were used to simulate the impedance matching of the receiver, matching the input impedance of the first-order equalization circuit with the internal resistance of solar panel, while expanding the system bandwidth and ensuring the highest output power of the solar panel.The simulation results show that the output power of the solar panel is increased by 86.2% when the input impedance of the equalization circuit matches solar panel, compared to the common 50 Ω.The prototype system of zero-energy optical label of visible light was built.A 15 W LED lamp was used to send characters at 115 200 Baud, and a cadmium telluride solar panel was used to collect energy and receive signals at a distance of 1.3 m.Low-power microcontroller was used to recover data through ADC and computation, and OLED screens were used to display the received label characters.The signal reception, processing computing, and screen display energy of the receiver were all provided by solar panel, without the need for batteries or external power supply.The visible light label display service with zero energy consumption has been implemented.…”
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Shale-pore Semantic Segmentation Network Based on Pseudo-labeling by Chenzhang WANG, Yanfei WANG, Zhijing BAI

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Automatic MRI Lymph Node Annotation From CT Labels by Souraja Kundu, Yuji Iwahori, M. K. Bhuyan, Manish Bhatt, Boonserm Kijsirikul, Aili Wang, Akira Ouchi, Yasuhiro Shimizu

“…These factors make it difficult to create labeled MRI datasets for deep learning model training. …”
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Choosing preferable labels for the Japanese translation of the Human Phenotype Ontology by Kota Ninomiya, Terue Takatsuki, Tatsuya Kushida, Yasunori Yamamoto, Soichi Ogishima

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Fumigant and Non-Fumigant Nematicides Labeled for Agronomic Crops in Florida by Zane Grabau

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Enhancement of Fluorescent Labeling via a Composited Thin Film by Taikei Suyama, Xiaowei Ji, Yaoju Zhang

“…Fluorescent labeling is the prevailing imaging technique in cell biological research. …”
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Robust collection and processing for label-free single voxel proteomics by Reta Birhanu Kitata, Marija Velickovic, Zhangyang Xu, Rui Zhao, David Scholten, Rosalie K. Chu, Daniel J. Orton, William B. Chrisler, Tong Zhang, Jeremy V. Mathews, Benjamin M. Bumgarner, Demirkan B. Gursel, Ronald J. Moore, Paul D. Piehowski, Tao Liu, Richard D. Smith, Huiping Liu, Clive H. Wasserfall, Chia-Feng Tsai, Tujin Shi

“…This method enables reproducible, label-free quantification of approximately 900 and 4600 proteins for single voxels at 20 µm × 20 µm × 10 µm (~1 cell region) and 200 µm × 200 µm × 10 µm (~100 cell region) from fresh frozen human spleen tissue, respectively. …”
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