Automatic monitoring of treated water released from wastewater treatment plants using model-based clustering with density estimation by Sheik Faritha Begum, K Lokeshwaran

“…Cluster analysis using the Euclidean distance resulted in three clusters labeled under a specified category of water polluted: non-polluted, lightly polluted, highly polluted or slightly polluted. …”
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The content of yellow pigments in durum wheat (Titicum durum Desf.) grains: biosynthesis, genetic control, marker selection by P. N. Malchikov, M. G. Myasnikova

“…However, the prevalence of strong additive gene effects and high heritability have contributed to significant progress in breeding for this trait. Molecular labeling of quantitative trait loci (QTL) that control the synthesis of the carotenoid pigment and the yellowness index (YI) found that they are distributed across all chromosomes of the durum wheat genome. …”
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The Prognostic Model Established by the Differential Expression Genes Based on CD8+ T Cells to Evaluate the Prognosis and the Response to Immunotherapy in Osteosarcoma by Yu Chen, Wei Yan, Hongqing Wang, Zhiliang Ou, Huihong Chen, Zhenhua Huang, Jinlian Yang, Biqiong Liu, Fanjie Ou, Huang Zhang

“…Next, we performed clustering analysis on the immune cell clusters and obtained 25 immune cell subclusters. Immune cells were labeled with CD8A and CD8B to obtain CD8+ T cell clusters. …”
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Identification of Synthetic Food Colours in Selected Confectioneries and Beverages in Jaffna District, Sri Lanka by P. G. T. Dilrukshi, Helani Munasinghe, A. Buddhika G. Silva, P. G. S. M. De Silva

“…Moreover, 60% of the beverages violated the label requirement without including proper colour ingredients. …”
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Person Detection for an Orthogonally Placed Monocular Camera by Pavel Skrabanek, Petr Dolezel, Zdenek Nemec, Dominik Stursa

“…For this purpose, we form and make publicly available a large-scale, class-balanced dataset of labelled RGB images. We demonstrate that, compared to ConvNets, the HOG-based passenger recognition is more suitable for practical applications. …”
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Approaching maximum resolution in structured illumination microscopy via accurate noise modeling by Ayush Saurabh, Peter T. Brown, J. Shepard Bryan IV, Zachary R. Fox, Rory Kruithoff, Cristopher Thompson, Comert Kural, Douglas P. Shepherd, Steve Pressé

“…B-SIM enables unsupervised, quantitative, physically accurate reconstruction without the need for labeled training data, democratizing high-quality SIM reconstruction and expands the capabilities of live-cell SIM to lower SNR, potentially revealing biological features in previously inaccessible regimes.…”
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Correlation of precisely fabricated geometric characteristics of DNA-origami nanostructures with their cellular entry in human lens epithelial cells by Yexuan Guo, Tianze Xiong, Hong Yan, Rui Xue Zhang

“…Flow cytometry analysis of four Cy5-labelled DONs in hLECs HLE-B3 found time-dependent cellular uptake over 2 h, among which the octahedron and triangle had higher cellular accumulation than the rod and ring. …”
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Rosuvastatin effects on the HDL proteome in hyperlipidemic patients by Vavlukis Ana, Mladenovska Kristina, Davalieva Katarina, Vavlukis Marija, Dimovski Aleksandar

“…Patients with primary hypercholesterolemia or mixed dyslipidemia were assigned to 20 mg/day rosuvastatin and blood samples were drawn at study entry and after 12 weeks of treatment. A label-free LC-MS/MS protein profiling was conducted, coupled with bioinformatics analysis. …”
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Statistical Analysis of Public Sentiment on the Ghanaian Government: A Machine Learning Approach by John Andoh, Louis Asiedu, Anani Lotsi, Charlotte Chapman-Wardy

“…The data was preprocessed, manually labeled by the researcher, and then trained using the aforementioned algorithms. …”
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Sustained response off treatment after fostamatinib in refractory immune thrombocytopenia: A series of four case reports by Waleed Ghanima, Francisco Javier Lucas Boronat, Valentina Carrai, Stefan Rackwitz

“…He received fostamatinib in the FIT-3 open-label extension for seven weeks and maintained SROT for 2.5 years. …”
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Aaron Temkin Beck (born July 18, 1921-) Biography by K. Fatih Yavuz, M. Hakan Türkçapar

“…He developed a different theoretical-clinical approach that he labelled cognitive therapy. Since 1959 he has directed funded research investigations of the psychopathology of depression, suicide, anxiety disorders, panic disorders, alcoholism, drug abuse, personality disorders, and schizophrenia and of cognitive therapy of these disorders. …”
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Cutibacterium acnes biofilm formation is influenced by bone microenvironment, implant surfaces and bacterial internalization by Jennifer Varin-Simon, Marius Colin, Frédéric Velard, Min Tang-Fichaux, Xavier Ohl, Céline Mongaret, Sophie C. Gangloff, Fany Reffuveille

“…Methods In this study, we compared the biofilm formation of C. acnes PJI-related strains and non-PJI-related strains on plastic support and textured titanium alloy by (i) counting adherent and viable bacteria, (ii) confocal scanning electronic microscopy observations after biofilm matrix labeling and (iii) RT-qPCR experiments. Results We highlighted material- and strain-dependent modifications of C. acnes biofilm. …”
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Analysis of ADR reports of cetuximab based on the FDA adverse event reporting system database by Shuai Zhao, Yan Wang, Xiaoli Deng, Xi Chen, Zhaoyi Lu

“…Some AEs were not on the drug label: speech disorder, intervertebral discitis, glomerulonephritis rapidly progressive and disseminated intravascular coagulation. …”
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Acute Genetic Damage Induced by Ethanol and Corticosterone Seems to Modulate Hippocampal Astrocyte Signaling by Ana Laura Reyes-Ábalos, Magdalena Álvarez-Zabaleta, Silvia Olivera-Bravo, María Vittoria Di Tomaso

“…Surface-attached EVs and NTs were examined via scanning electron microscopy, and labeled proteins were analyzed via confocal microscopy. …”
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Multiangle Correlation Feature Extraction and Disease Prediction Model Construction for Patients With Post-Stroke Dysarthria by Ting Zhu, Shufei Duan, Huizhi Liang, Fujiang Li, Wei Zhang

“…Emotional speech was labeled for intelligibility scores, emotion types, and discrete dimensional space. …”
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TepiSense: A Social Computing-Based Real-Time Epidemic Surveillance System Using Artificial Intelligence by Bilal Tahir, Muhammad Amir Mehmood

“…To test the performance of our system, we build a dataset of Twitter Epidemic Surveillance Corpus (TESC) containing 23.9K English and 13K labelled Urdu tweets related to six diseases: COVID19, hepatitis, malaria, flu, dengue, and HIV/AIDS. …”
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Erratum to: Investigating the steady state ofmulticellular sheroids by revisiting the two-fluid model by Antonio Fasano, Marco Gabrielli, Alberto Gandolfi

“…Its actual form is as follows:\begin{align}\label{stresscont3}\frac{2\gamma}{R}=&\frac{1}{\nu(1-\nu)}\frac{\chi R^2}{3K}\left\{\frac{R}{\rho_D^{}}\left[1-\left(\frac{\rho_P^{}}{R}\right)^3\right]-\frac{3}{2}\left[1-\left(\frac{\rho_P^{}}{R}\right)^2\right]\right\}\nonumber\\+&\frac{4}{3}\eta_C\chi\left(\frac{R}{\rho_D^{}}\right)^3\left[1-\left(\frac{\rho_P^{}}{R}\right)^3\right]\nonumber\\+&2\sqrt{3}\tau_0\left[\ln\frac{\rho_P^{}}{\rho_D^{}}+\frac{1}{3}\ln\frac{\sqrt{2}(\frac{R}{\rho_P^{}})^3 + \sqrt{1+2(\frac{R}{\rho_P^{}})^6}}{\sqrt{2}+\sqrt{3}}\right].…”
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Foucault in Sulawesi: Challenging the Roots of Ethnic Discourse in South Sulawesi by Muh Adnan Malewa

“…He was viewed as a national hero because of his struggle against the Vereenigde Oostindische Compagnie (VOC), and then automatically labeled his opponent, Arung Palakka, a member of the Bugis ethnic group, as a “traitor” for joining the VOC. …”
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Risk Prediction for Ship Encounter Situation Awareness Using Long Short-Term Memory Based Deep Learning on Intership Behaviors by Jie Ma, Wenkai Li, Chengfeng Jia, Chunwei Zhang, Yu Zhang

“…The collision risk level at a future time is taken as the class label of the sequence. Then, the long short-term memory network, which has a strong ability to model temporal dependency and complex patterns, is extended to establish the relationship. …”
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Localization and detection of deepfake videos based on self-blending method by Junfeng Xu, Xintao Liu, Weiguo Lin, Wenqing Shang, Yuefeng Wang

“…By employing a technique that combines multi-part local displacement deformation and fusion, we generate more diverse deepfake feature data, enhancing the detection accuracy of specific manipulation methods while producing mixed-region labels to guide manipulation localization. We utilize the Swin-Unet model for manipulation localization detection, incorporating classification loss functions, local difference loss functions, and manipulation localization loss functions to effectively improve the precision of localization and detection.Experimental results demonstrate that the proposed spatial-based training method without fake samples effectively simulates the features present in real datasets. …”
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