Changes in the Distribution of Thermokarst Lakes on the Qinghai-Tibet Plateau from 2015 to 2020 by Rongrong Wei, Xia Hu, Shaojie Zhao

“…The results provide a scientific reference for the assessment and prediction of dynamic changes in thermokarst lakes on the QTP in the future, which will have important scientific significance for the studies of carbon and water processes in alpine ecosystems.…”
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Moisture-driven shifts in microbial nitrogen limitation under biochar and nitrification inhibitors co-application in tropical soils by Lijun Liu, Qilin Zhu, Xiaoqian Dan, Huanyu Bao, Tongbin Zhu, Lei Meng, Ahmed S. Elrys, Christoph Müller, Jinbo Zhang

“…Soil microbes can regulate soil N dynamics through metabolic processes, such as the secretion of extracellular enzymes, which affect both N production and turnover. …”
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Rationale for the use of electrophoresis of drugs in post-stroke patients with visual impairments: a review by Detelina B. Kulchitskaya, Tatiana V. Konchugova, Tatyana V. Marfina, Tatiana V. Apkhanova

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Biodiversity and ecology of dragonfly larvae in the plain zone of the Central Caucasus by Kozminov Sergey, Krapivina Elena, Paritov Anzor, Sabanova Raisa, Khandokhov Tahir

“…It is determined that the altitudinal-belt vector determines natural filtration processes, water mass exchange and characterizes plain water bodies with polysaprobic and mesosaprobic biotopes with a high content of organic matter. …”
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Characterization of full-length long noncoding RNAs and identification of virus-responsive lncRNAs in Sogatella furcifera by Yawen Ban, Yawen Ban, Ting Cui, Ting Cui, Lifei Zhao, Lifei Zhao, Xue Li, Xue Li, Qing Bai, Qing Bai, Qingfa Wu, Qingfa Wu

“…Here, we present a comprehensive identification and characterization of full-length lncRNAs in the white-backed planthopper (Sogatella furcifera), a major rice pest and efficient vector of Southern rice black-streaked dwarf virus (SRBSDV). …”
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Miniaturized Near-Infrared Analyzer for Quantitative Detection of Trace Water in Ethylene Glycol by Qunling Luo, Zhiqiang Guo, Danping Lin, Boxue Chang, Yinlan Ruan

“…The modeling performances of three algorithms including Support Vector Machine Regression (SVMR), Principal Component Regression (PCR), and Partial Least Squares Regression (PLSR) were systematically evaluated, with PLSR identified as the optimal algorithm. …”
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Mechanisms and roles of membrane-anchored ATG8s by Soo-Kyeong Lee, Sang-Won Park, Deok-Jin Jang, Jin-A. Lee

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Ship Target SAR Dataset Generation Based on Ray Tracing Including Multiple Scattering by Junjie Li, Ke Wu, Liuyan Wei, Chuanxiang Cheng, Gaohao Zhu

“…Finally, the raw echo signal of the ship target is processed by RD imaging algorithm, then the corresponding SAR simulated image is obtained. …”
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Comparison of Two Machine Learning Models for Predicting Volumetric Errors From On-The-Fly R-Test Type Device Data and Virtual End Point Constraints by Min Zeng, J. R. R. Mayer, Miao Feng, Elie Bitar-Nehme, Xuan Truong Duong

“…Initial processing of data using the SAMBA (scale and master ball artefact) method eliminates setup errors and provides estimates of inter- and intra-axis errors as well as volumetric errors vectors. …”
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Machine Learning Ship Classifiers for Signals from Passive Sonars by Allyson A. da Silva, Lisandro Lovisolo, Tadeu N. Ferreira

“…The dataset encompassed 12 distinct ship classes and was processed in two ways—full-resolution and downsampled inputs—to assess the impacts of preprocessing on the model accuracy and computational efficiency. …”
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A New Semisupervised-Entropy Framework of Hyperspectral Image Classification Based on Random Forest by Mengmeng Sun, Chunyang Wang, Shuangting Wang, Zongze Zhao, Xiao Li

“…The framework is composed of five parts: (1) random samples selection with (2) probabilistic output initial random forest classification processing based on the number of votes; (3) semisupervised classification, which is an improvement of the supervision classification of random forest based on the weighted entropy algorithm; (4) precision evaluation; and (5) a comparison with the traditional minimum distance classification and the support vector machine (SVM) classification. …”
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REFORMING THE EUROPEAN DOCTORAL EDUCATION SYSTEM IN THE CONTEXT OF FORMATION OF GENERIC COMPETENCES by Derstuganova Natalia

“…The purpose of the article is to identify the vectors of doctoral education development by analyzing the EU regulatory and recommendation documents which govern the process of reform- ing the doctoral education system in the context of formation of generic competences. …”
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Machine learning for forecasting factory concentrations of nitrogen oxides from univariate data exploiting trend attributes by Jiaxin Liu, Shuo Yang, Qichao Li, Leiming Ji, Xuefeng Hou, Liudong Hou, Jing Ma

“…The development of post-processing technology for spent nuclear fuel is essential to ensuring the sustainable growth of nuclear energy. …”
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Enhancing DDoS Attacks Mitigation Using Machine Learning and Blockchain-Based Mobile Edge Computing in IoT by Mahmoud Chaira, Abdelkader Belhenniche, Roman Chertovskih

“…Our solution leverages the decentralized and tamper-resistant nature of Blockchain technology to enable secure and efficient data collection and processing at the network edge. We evaluate multiple machine learning models, including K-Nearest Neighbors (KNN), Support Vector Machine (SVM), Decision Tree (DT), Random Forest (RF), Transformer architectures, and LightGBM, using the CICDDoS2019 dataset. …”
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IN SILICO AND IN VITRO ACTIVITY OF FRIEDELIN N-DERIVATIVES AGAINST PROMASTIGOTE FORMS OF Leishmania amazonensis by Mauro Lúcio Gonçalves de Oliveira, Lucienir Pains Duarte, Grácia Divina de Fátima, Silvia Ribeiro de Souza, Misléia Rodrigues de Aguiar Gomes, Sidney Augusto Vieira-Filho, Vera Lucia de Almeida, Júlio César Dias Lopes

“…We developed the Active-IT software to build these models using support-vector machine (SVM) and Naïve Bayes machine learning tools, high-quality datasets, and 3D compound structures. …”
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GraphEPN: A Deep Learning Framework for B-Cell Epitope Prediction Leveraging Graph Neural Networks by Feng Wang, Xiangwei Dai, Liyan Shen, Shan Chang

“…The graph transformer further processes these features to model long-range dependencies and interactions. …”
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Dual-channel knowledge attention for traditional Chinese medicine syndrome differentiation by Boting Liu, Hengqiu Huang, Xiaoman Liu, Juntao Zhao, Jiean Mo

“…Abstract With the rapid advancement of Natural Language Processing (NLP) technologies, the application of NLP to enable intelligent syndrome differentiation in Traditional Chinese Medicine (TCM) has become a popular research focus. …”
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Explainable Supervised Learning Models for Aviation Predictions in Australia by Aziida Nanyonga, Hassan Wasswa, Keith Joiner, Ugur Turhan, Graham Wild

“…A comparative evaluation of four machine learning algorithms is conducted for a three-class classification task:—Support Vector Machine (SVM), Logistic Regression (LR), Random Forest (RF), and a deep neural network (DNN) comprising five hidden layers. …”
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Clinical Decision Support for Patient Cases with Asymptomatic Carotid Artery Stenosis Using AI Models and Electronic Medical Records by Mackenzie Madison, Xiao Luo, Jackson Silvey, Robert Brenner, Kartik Gannamaneni, Alan P. Sawchuk

“…By analyzing the EMRs, the Support Vector Machine achieved the highest sensitivity at 0.626 for predicting which of these patients would go on to develop a stroke or TIA. …”
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Physical activity in the legislative production of the Federal Executive Power (1990 to 2023) by Adson Pereira Silva, Temístocles Damasceno Silva, Saú da Silva Souza, Sérgio Donha Yarid

“…For the data collection, organization, and processing, the current study analyzed bills which mentioned the terms PA and body practices based on laws several presidents that ruled the Federative Republic of Brazil. …”
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