Electrochemical Sandwich Immunoassay for the Ultrasensitive Detection of Human MUC1 Cancer Biomarker by Zahra Taleat, Cecilia Cristea, Giovanna Marrazza, Robert Săndulescu

“…A linear relationship was obtained for the detection of human MUC1 over a range of 0–25 ppb with the lowest detection limit of 1.34 ppb when HRP was applied as a label. Preliminary experiments were performed using disposable electrochemical sensors in order to optimize some parameters (i.e., incubation times, concentrations, and blocking agent).…”
Get full text

Live Visualization of Calcified Bones in Zebrafish and Medaka Larvae and Juveniles Using Calcein and Alizarin Red S by Rina Koita, Sae Oikawa, Taisei Tani, Masaru Matsuda, Akinori Kawamura

“…A prevalent technique for investigating calcified bone development in these species involves using transgenic fish that express fluorescent proteins labeling calcified bones; however, acquiring these fish and isolating appropriate crosses can be time-consuming. …”
Get full text

Optimization of Human Corneal Endothelial Cells for Culture: The Removal of Corneal Stromal Fibroblast Contamination Using Magnetic Cell Separation by Gary S. L. Peh, Man-Xin Lee, Fei-Yi Wu, Kah-Peng Toh, Deepashree Balehosur, Jodhbir S. Mehta

“…Cells from the “flow-through” fraction displayed compact polygonal morphology and expressed Na+/K+ATPase indicative of corneal endothelial cells, whilst cells from the “labeled” fraction were mostly elongated and fibroblastic. …”
Get full text

A co-estimation framework of state of health and remaining useful life for lithium-ion batteries using the semi-supervised learning algorithm by Xiaoyu Li, Mohan Lyv, Xiao Gao, Kuo Li, Yanli Zhu

“…Addressing the issue of high costs and time consumption due to the reliance on large amounts of labeled data in existing models, this paper proposes a co-estimation framework that combines semi-supervised learning (SSL) with long short-term memory networks (LSTM), effectively utilizing unlabeled data. …”
Get full text

CoWIN twitter dataset: A comprehensive collection of public discourse on India's COVID-19 vaccination platformMendeley Data by Shubham Mittal, Swarnalakshmi Umamaheswaran

“…It addition to the raw data, it also included a cleaned and processed set of 419,409 English tweets, and a labeled subset with sentiment analysis. The raw data file has tweet details like ID, text, timestamp, user ID, and language. …”
Get full text

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. …”
Get full text

Automatic Calculation of Cardiometric Coefficients on Chest X-Ray Images by Alexey Kornaev, Dmitry Lvov, Ilya Pershin, Semen Kiselev, Danil Afonchikov, Iskander Bariev, Bulat Ibragimov

“…We engaged four experienced radiologists to manually label 800 chest X-ray images each. Using these labeled images, we trained a deep learning model that achieved the level of performance comparable to that of a professional radiologist. …”
Get full text

The application of series multi-pooling convolutional neural networks for medical image segmentation by Feng Wang, Siwei Huang, Lei Shi, Weiguo Fan

“…To solve the said problems, the model of convolutional neural network in the deep learning approach was used in this article to cope with classification and labeling tasks of brain tumor images. The main contents of this article were studied as follows: the principle and operating approach of convolutional neural network on image processing was first introduced, and then 12-layer convolutions were skillfully set up for local pathways based on two-way convolutional neural network architectures; considering the inter-label dependency in pixel areas, the situation of conditional random field was simulated to design the input series connection structure; multi-pooling input series connection model was designed to solve the problem that the input pixel area is limited; finally, the classification accuracy upon experiments reached 83%, which has verified the effectiveness of model to improve.…”
Get full text

An investigation on the uncertainty of fill factor by Pavanello Diego, Sample Tony, Müllejans Harald

“…This study focuses on the fill factor (FF) measurement uncertainty contributing to the uncertainty in the labeling of the nominal maximum power (Pmax) of photovoltaic modules, which is determined under Standard Test Conditions (STC). …”
Get full text

The METEMP protocol: Massed exposure therapy enhanced with MDMA for PTSD by Jessica L. Maples-Keller, Boadie W. Dunlop, Barbara O. Rothbaum

“…The specific methods of the open label pilot study are presented, followed by conclusions and future directions for this research. …”
Get full text

FAULT RECOGNITION METHOD RESEARCH BASED ON SEMI-SUPERVISED NEIGHBORHOOD SELF-ADAPTIVE LINERA LOCAL TANGENT SPACE ALIGNMENT by XIE XiaoHua, WANG QingHong

“…In SSNA-LLTSA, the distance between different points is adjusted by utilizing part class label information,thereby a new distance matrix is formed and the neighborhood is constructed through this new distance matrix. …”
Get full text

A graph backdoor detection method for data collection scenarios by Xiaogang Xing, Ming Xu, Yujing Bai, Dongdong Yang

“…Specifically, in the backdoor model, the backdoor samples with modified labels are predicted as the target class. However, in the clean model, they are predicted as the ground-truth labels since the clean model remains unaffected by the backdoor. …”
Get full text

Few-Shot Contrail Segmentation in Remote Sensing Imagery With Loss Function in Hough Space by Junzi Sun, Esther Roosenbrand

“…Traditional computer vision techniques struggle with varying imagery conditions, and supervised machine learning approaches often require a large amount of hand-labeled images. This study researches few-shot transfer learning and provides an innovative approach for contrail segmentation with a few labeled images. …”
Get full text

Imaging of CD47 Expression in Xenograft and Allograft Tumor Models by Alexander Zheleznyak, Oluwatayo F. Ikotun, Julie Dimitry, William A. Frazier, Suzanne E. Lapi

“…Ab-Df-Bz-NCS conjugates were labeled with 89 Zr with specific activity of 0.9 to 1.6 μCi/μg. …”
Get full text

In Captivity of the Body: Intersex(-uality) in the First Half of the 20th Century by Denisa Vídeňská

“…The second example refers to a real-life case of a person identified as a man in society, despite being born with a female biological body, referred to by doctors with the initials A.H. The doctors labelled A.H. as homosexual and a transvestite, which we now consider to be incorrect from a modern perspective. …”
Get full text

Total Roman 2-Reinforcement of Graphs by M. Kheibari, H. Abdollahzadeh Ahangar, R. Khoeilar, S. M. Sheikholeslami

“…A total Roman 2-dominating function (TR2DF) on a graph Γ=V,E is a function l:V⟶0,1,2, satisfying the conditions that (i) for every vertex y∈V with ly=0, either y is adjacent to a vertex labeled 2 under l, or y is adjacent to at least two vertices labeled 1; (ii) the subgraph induced by the set of vertices with positive weight has no isolated vertex. …”
Get full text

Cell Internalization of Magnetic Nanoparticles Using Transfection Agents by Karin Montet-Abou, Xavier Montet, Ralph Weissleder, Lee Josephson

“…Transfection agent (TFA)-induced magnetic cell labeling with Feridex IV is an attractive method of loading cells because it employs a pharmaceutical source of iron oxide. …”
Get full text

Fraud Detection in Cryptocurrency Networks—An Exploration Using Anomaly Detection and Heterogeneous Graph Transformers by Víctor Pérez-Cano, Francisco Jurado

“…More specifically, our study’s goal was to find reliable techniques to label Bitcoin transactions, taking into account their features. …”
Get full text

Imaging Gene Expression in Regional Brain Ischemia in Vivo with a Targeted [In]-Antisense Radiopharmaceutical by Toyofumi Suzuki, Yun Zhang, Yu-feng Zhang, Felix Schlachetzki, William M. Pardridge

“…The in vivo imaging of decreased GFAP gene expression in cerebral ischemia was examined in the present studies using a targeted peptide nucleic acid (PNA), which was labeled with 111 In, and which hybridized to nucleotides 20–37 of the rat GFAP mRNA. …”
Get full text

Dietary Salt-Related Knowledge, Attitudes and Behaviors in Healthy and Hypertensive Turkish Adults from Food Choice Perspective by Burcu Aksoy Canyolu, Beste Özben Sadıç

“…Higher overall attitude scores increased the odds of performing most behaviors to reduce salt, except for checking food labels, using spices instead of salt, and purchasing foods labeled as low-sodium, by almost three-fold. …”
Get full text