Microspectrometer-Enabled Real-Time Concentration Monitoring in the Microfluidic Protein Enrichment Chip by Dong-Li Li, Wen-Shu Huang, Yi Hung Wu, Chun-Ping Jen

“…The device employs electrokinetic principles for efficient protein preconcentration in a PDMS and Nafion film channel. Using FITC-labeled BSA as a model protein, the system demonstrated a linear correlation between protein concentration and absorbance at 491 nm. …”
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A SYSTEMATIC REVIEW OF THE USE OF TULATHROMYCIN IN VETERINARY MEDICINE by Carmen (Pop) Moldovan, Alexandra Dreancă, Oana Rotar, Mihai Madru, Ioan Marcus

“…Data regarding antimicrobial resistance to tulathromycin is discrepant due to several sources that display negative results regarding the sole use of this macrolide and its off-label use. Although limitations exist, a consolidated further research on the application of tulathromycin in sheep, highlighting its benefits and addressing potential challenges in its use is needed.…”
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Dynamic Production of Soluble Extracellular Polysaccharides by Streptococcus mutans by Eva-Maria Decker, Ilka Dietrich, Christian Klein, Christiane von Ohle

“…Microtiter well plates were coated with cell-free supernatants followed by the addition of labeled Concanavalin-A and enzyme substrate. The substrate reactions were kinetically detected at 405 nm. …”
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Uncertainty Estimation in Unsupervised MR-CT Synthesis of Scoliotic Spines by Enamundram Naga Karthik, Farida Cheriet, Catherine Laporte

“…In unsupervised learning tasks, where expert labels are unavailable, it becomes ever more important to critique the model through uncertainties. …”
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Optimising deep learning models for ophthalmological disorder classification by S. Vidivelli, P. Padmakumari, C. Parthiban, A. DharunBalaji, R. Manikandan, Amir H. Gandomi

“…In this article, we have used different deep learning models for the categorisation of ophthalmological disorders into multiple classes and multiple labels utilising transfer learning-based convolutional neural network (CNN) methods. …”
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Use of Pie Charts in Cognitive Therapies by Melis SEDEF KAHRAMAN, Sebnem SAHINOZ, Seher Olga GURIZ

“…Investigating reasons of an event or a situation, appraising ones responsibility, testing catastrophic evaluations regarding a life event, challenging labeling thoughts and setting goals are some of the major target areas of PC. …”
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Machine learning-enhanced SERS for accurate azoospermia diagnosis via seminal plasma exosome analysis by Jiarui Wang, Shiyan Jiang, Jiaxin Shi, Jing Wang, Shengrong Du, Zufang Huang

“…This integrated SERS and machine learning approach offers a sensitive, label-free, and objective diagnostic tool for early detection and monitoring of azoospermia, potentially enhancing clinical outcomes and patient management.…”
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Effect of inoculating mixed starter cultures of Lactobacillus and Staphylococcus on bacterial communities and volatile flavor in fermented sausages by Yuxin Li, Zhixiang Cao, Zhihui Yu, Yingchun Zhu, Kaile Zhao

“…The objective of this study was to explore the effects of the inoculation of mixed starter cultures of Lactobacillus and Staphylococcus (labeled L-S) on microbial community and flavor in fermented sausages during the ripening process. …”
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Characterization of the bioaccumulation and toxicity of copper pyrithione, an antifouling compound, on juveniles of rainbow trout by Bourdon, Charlotte, Cachot, Jérôme, Gonzalez, Patrice, Couture, Patrice

“…A 24-hour acute exposure was performed with nominal concentrations of 50 and 100 µg/L Cu from either CuSO4 or CuPT (labelled CuSO4_50, CuSO4_100, CuPT_50 and CuPT_100, respectively). …”
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Implementasi Metode Longest Common Subsequences untuk Perbaikan Kata pada Kasus Analisis Sentimen Opini Pembelajaran Daring di Media Sosial Twitter by Alfisyar Jefry Pranata, Yuita Arum Sari, Edy Santoso

“…The method used in this research is Longest Common Subsequences (LCS) and Support Vector Machine (SVM) with 500 data divided into 250 data labeled positive and 250 data labeled negative. Of the 500 data is divided into 450 data for training data and 50 data for test data. …”
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In-situ profiling of glycosylation on single cells with surface plasmon resonance imaging by Xiaoyin Liu, Jinbiao Ma, Yunrui Zhang, Yi Xu, Yunxiao Wang, Dehong Yang, Di Wang, Qingjun Liu, Fenni Zhang

“…Current glycosylation profiling methods normally involve laborious sample processing and labeling and lack in-situ quantitative analysis. Here, we present a direct optical method to investigate and quantify the glycan expression on single cells based on lectin-glycan kinetic quantification with plasmonic imaging. …”
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Bone scan images dataset for study of bone metastases in adult breast cancer patients at IICS-UNA, ParaguayZenodo by Carolina Elizabeth Villegas-Colmán, Julio César Mello-Román, José Luis Vázquez Noguera, Horacio Legal-Ayala, Pastor Pérez Estigarribia, Benicio Grossling-Vallejos, Ronald Rivas, María Gloria Pedrozo, Cynthia Duarte, Graciela Giménez, Andrés Uldera, Marina Arnal, Nicole Barreto, Teresa Rojas

“…Approximately 20 mCi of technetium-99m methylene diphosphonate (99mTc-MDP) was administered to each patient, producing whole-body planar images in anterior and posterior projections of the axial and appendicular skeleton with a resolution of 256 × 1024 pixels. The images were labeled according to the final diagnosis by a nuclear physician, covering conditions ranging from joint lesions to bone metastases. …”
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Nanocomposite of electrochemically reduced graphene oxide and gold nanourchins for electrochemical DNA detection by Mostafa Azimzadeh, Zahra Aghili, Behrooz Jannat, Saeid Jafari, Saeed Rafizadeh Tafti, Navid Nasirizadeh

“…Doxorubicin was used as an electrochemical label to detect the DNA hybridisation using differential pulse voltammetry (DPV). …”
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BPS states, conserved charges and centres of symmetric group algebras by Garreth Kemp, Sanjaye Ramgoolam

“…Abstract In N $$ \mathcal{N} $$ = 4 SYM with U(N) gauge symmetry, the multiplicity of half-BPS states with fixed dimension can be labelled by Young diagrams and can be distinguished using conserved charges corresponding to Casimirs of U(N). …”
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Purslane: The Reigning Champion of Vitamins A and E among Vegetables and a Potential Crop for Home Gardens by Xueyan Zhang, Mary Dixon, Guodong Liu

“… Purslane is often labeled as a noxious weed in Florida; however, this seemingly pesky plant is perceived as a nutritional powerhouse in Asia and other continents. …”
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The diversity of local political agendas during COVID-19: A comparison of Mexican states by Enrique García-Tejeda, Juan Guillermo Vieira-Silva

“…At least for the case of COVID-19 in the short run, the size and diversity of local agendas in Mexico seem to be based on institutional factors, such as information processing according to bounded rationality, incremental solutions, and the functional labeling of local governments. Thus, the variety of agendas is based on the direct interests of communities.…”
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Catalytic Pyrolysis of Low Density Polyethylene Using Cetyltrimethyl Ammonium Encapsulated Monovacant Keggin Units C19H42N4H3(PW11O39) and ZSM-5 by Madeeha Batool, Asma Tufail Shah, Muhammad Imran Din, Baoshan Li

“…The thermal catalytic cracking of the LDPE has been done using cetyltrimethyl ammonium encapsulated monovacant keggin units (C19H42N)4H3(PW11O39), labeled as CTA-POM and compared with the ZSM-5 catalyst. …”
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The haustorium as a driving force for speciation in thallus-forming Laboulbeniomycetes by Danny Haelewaters, Maarten Lubbers, André De Kesel

“…We make suggestions for future research including fluorescent labeling of waxy lipids and mass spectrometry. These techniques have the potential to generate the data necessary to evaluate the here proposed 1H1P hypothesis for Herpomycetales and Laboulbeniales.…”
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Intraoperative rescue of a dislodged renal stent during fenestrated endovascular aortic repair for treatment of type 1A endoleak by Mario D’Oria, MD, Filippo Griselli, MD, Cristiano Calvagna, MD, Sandro Lepidi, MD

“…In this manuscript, we report a case intraoperative rescue of a dislodged renal stent during FEVAR for treatment of type 1 endoleak with the aim of showing the culprit of the complication, how to recognize it, and the off-label solution that was devised to solve it.…”
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A Novel Approach to Test-Induced Defect Detection in Semiconductor Wafers, Using Graph-Based Semi-Supervised Learning (GSSL) by Pedram Aridas, Narendra Kumar, Anis Salwa Mohd Khairuddin, Daniel Ting, Vivek Regeev

“…The algorithm, which incorporates domain knowledge in creating a graph representation of wafer, and utilizing a weighted edge label propagation model, has demonstrated its effectiveness by achieving a 68% accuracy on a real-world dataset, offering a promising approach to enhance quality control in semiconductor manufacturing.…”
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