Oncolytic VSV-IL-2 has enhanced anticancer vaccination adjuvant abilities by Marie-Claude Bourgeois-Daigneault, Victor Mullins-Dansereau, Marie-Lou Myre, Angelina Bardoul, Karen Geoffroy, Marco J Rallo Pita, Delphine Béland, Kim Leclerc Desaulniers, Dominic Guy Roy

“…With their natural ability to specifically destroy cancer cells, oncolytic viruses also allow for direct oncolysis and our team has previously demonstrated that they can be used as vaccination adjuvants when co-administered with antigenic peptides. …”
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Influence of Land Use Data Resolution on SCS Model in Runoff Simulation by WANG Menghan, HE Xiaohui, GUO Hengliang

“…Theresolution of land use data has a great influence on the CN value. …”
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Dimensionality Reduction using Hybrid Algorithms and Their Application to Remote Sensing Data by Maha Hasso, Mona Siddiq

“…In this work, A proposed Algorithm has been constructed for the selecting the best band and lessening high dimension of remote sensing data depending on multi algorithms, each on carried out and its results are studied irrespective of other, then combining them in the proposed algorithms, in the principle component analysis algorithm find covariance matrix for the processing bands . …”
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Analysing Threshold Value in Fire Detection Algorithm Using MODIS Data by Bowo E. Cahyono, Peter Fearns, Brendon McAtee

“…This paper describe the principle of fire investigation applied on MODIS data. The main used algorithm in this research is contextual algorithm which has been developed by NASA scientist team. …”
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Passive Diagnosis for WSNs Using Time Domain Features of Sensing Data by Lufeng Mo, Jinrong Li, Guoying Wang, Liping Chen

“…This paper presents a passive diagnosis method used for fault detection and fault classification based on the time domain features of sensing data (TDSD). …”
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Monitoring changes in the marshes of Mesopotamia using multispectral remote sensing data by Sabeeh Mosleh Jehan

“…The central focus addressed in this study revolves around the transformation that has occurred in wetlands. It is of utmost importance to acknowledge that the intensified desiccation of wetlands and lakes spanning over a vast expanse of 10,000 km bears immense significance for the provincial ecosystem and micro-climate, consequently impacting the well-being of individuals. …”
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ML-Based Pain Recognition Model Using Mixup Data Augmentation by Raghu M. Shantharam, Friedhelm Schwenker

“…Machine learning (ML) has revolutionized healthcare by enhancing diagnostic capabilities because of its ability to analyze large datasets and detect minor patterns often overlooked by humans. …”
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Machine learning to predict the source of campylobacteriosis using whole genome data. by Nicolas Arning, Samuel K Sheppard, Sion Bayliss, David A Clifton, Daniel J Wilson

“…We increase attribution accuracy from 64% using the standard iSource population genetic approach to 71% for MLST, 85% for cgMLST and 78% for kmerized WGS data using the classifier we named aiSource. …”
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Using Random Forest to Improve the Downscaling of Global Livestock Census Data. by Gaëlle Nicolas, Timothy P Robinson, G R William Wint, Giulia Conchedda, Giuseppina Cinardi, Marius Gilbert

“…This has been the major motivation behind the development of the Gridded Livestock of the World (GLW) database, which has been extensively used since its first publication in 2007. …”
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The Use of Data Mining in Public Budgeting: A Systematic Literature Mapping by Jose Claudio Guedes Das Neves, Veronica Oliveira De Carvalho

“…Thus, to understand how data mining has been used in the most diverse subjects related to public planning and budgeting, this study presents systematic literature mapping. …”
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Assessment of flood risk in Northern and Southern Laos using geospatial data by Ketsana Phommavong, Jianguo Yan, Shoukat Ali Shah, Chikondi Chisenga

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An Integrated Approach to Riverbed Morphodynamic Modeling Using Remote Sensing Data by Matteo Bozzano, Francesco Varni, Monica De Martino, Alfonso Quarati, Nicoletta Tambroni, Bianca Federici

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An Enhanced and Adaptive Algorithm for Secure Encryption of Data using Advanced Encryption by Mohanad S. Taha

“…It examines the strengths and weaknesses of various cryptographic algorithms using what has been written by other authors. This paper reviews the use of cryptography in several literatures to make data security better nowadays. …”
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National or Global Uncertainty: Which Has a Greater Impact on Investment Demand? by Haifei Wang, Ekaterina Isupova

“…Considering this research gap, our study used GMM estimator to analyze data for 161 countries from 2002 to 2022 to confirm that the interest elasticity of investment tends to be a function of the national level of uncertainty. …”
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Rapid Colorectal Tissue Classification Using Data-Driven Raman Techniques by Jakub Tomes, Daniela Janstova, Shayestegan Mohsen, Alla Sinica, Zuzana Kovacova, Jaromir Petrtyl, Jan Mares

“…In this study, we present a rapid procedure for Raman tissue analysis and classification using machine learning methods, including both supervised and hybrid supervised-unsupervised approaches, to distinguish between healthy and pathological cases based on Raman spectroscopy data. …”
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Use of real-world data as pivotal evidence in veterinary regulatory applications by Raffaele Bruno

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‘CAG has been good for me as a farmer—it has made it much easier to stay on ART’. Patient and healthcare worker experiences with ART community adherence groups in two Zambian commu... by Lazarus Jere, Chiti Bwalya, Joseph M. Zulu, Wilbroad Mutale

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Discourse semiotics of gender in two novels "This street has no speed bumps "and "Rahesh". by نرجس ghabeli, alireza asadi, ali soltani

“…In terms of methodology, it is a descriptive and qualitative research, which uses library method to collect data. According to this method, the analysis of the novel includes three levels: textual analysis, intertextual analysis, contextual analysis. …”
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Leader Effects in an Era of Negative Politics: Who Has a Negativity Bias? by Loes Aaldering, Frederico Ferreira da Silva, Diego Garzia, Katjana Gattermann, Alessandro Nai

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Price duration using daily online data: Time- or state-dependent? by Diego Solórzano, Lenin Arango-Castillo

“…Finally, leveraging price data gathered via direct visits to brick-and-mortar stores, we find that the state of the economy has similar impacts on the expected duration of price spells across both websites and physical stores.…”
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