Smart design A2Zr2O7-type high-entropy oxides through lattice-engineering toughening strategy by Ying Zhang, Ke Ren, William Yi Wang, Xingyu Gao, Jun Wang, Yiguang Wang, Haifeng Song, Xiubing Liang, Jinshan Li

“…Here, based on the classic Griffith criteria, a physics-driven theoretical equation combined with a knowledge-enabled data-driven machine-learning algorithm is proposed to predict the KIC and elucidate the toughening mechanisms of A2Zr2O7-type HEOs. …”
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Designed to binge? Exploring user perceptions of interface features on video streaming platforms by Cynthia A. Dekker, Anna Tverdina

“…Results indicate that the extent to which a user has a preference for binge-watching as a viewing style predicts their usability perceptions of the platform's interface features. …”
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Surrogate Model-based Fast Calculation of Power Cable Temperature Field: Method and Application by Li HUANG, Yun LIANG, Hui HUANG, Xiaoyan SUN, Shan WANG, Yuqiang YANG

“…Accurately predicting the temperature inside cables is crucial for effective cable management. …”
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The glycolytic reaction PGAM restrains Th17 pathogenicity and Th17-dependent autoimmunity by Chao Wang, Allon Wagner, Johannes Fessler, David DeTomaso, Sarah Zaghouani, Yulin Zhou, Kerry Pierce, Raymond A. Sobel, Clary Clish, Nir Yosef, Vijay K. Kuchroo

“…Surprisingly, Compass predicted that the metabolic shunt between 3-phosphoglycerate (3PG) and 2-phosphoglycerate (2PG) is inversely correlated with pathogenicity in Th17 cells. …”
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Identification of a 10-species microbial signature of inflammatory bowel disease by machine learning and external validation by Shicheng Yu, Jun Li, Zhaofeng Ye, Mengxian Zhang, Xiaohua Guo, Xu Wang, Liansheng Liu, Yalong Wang, Xin Zhou, Wei Fu, Michael Q. Zhang, Ye-Guang Chen

“…Furthermore, the microbiome-based model showed promise in predicting active IBD. Overall, this study identifies promising non-invasive biomarkers associated with IBD, which could greatly enhance diagnostic accuracy.…”
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LOMS.cz computational platform for high-throughput classical and combinatorial Judd-Ofelt analysis and rare-earth spectroscopy by Jan Hrabovsky, Petr Varak, Robin Krystufek

“…As a proof-of-concept, we demonstrate how this computational framework enables rapid screening of spectroscopic parameters, allowing researchers to predict optical properties with enhanced reliability. …”
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ProProtein: A platform for fully automated identification of 3D structure fluctuations in MD simulation trajectories. by Krzysztof Mularski, Dawid Makalowski, Marcin Okonek, Daria Glebowska, Mateusz Swiercz, Karol Kamel, Jacek Blazewicz, Maciej Antczak, Aleksandra Swiercz

“…This tool can easily support the evaluation of the reliability of protein 3D structure predictions obtained computationally. The ProProtein platform is free and open to all users. …”
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Optimization Design of Diaphragm Profile based on Kriging Model by Geng Hu, Zhigang Chen, Ding Zhang

“…Finally，the initial Kriging model is updated with MP （minimizing the predicted objective function） infill-sampling criterion and genetic algorithm，and the optimal design is obtained via the final Kriging model. …”
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Recommendations for the development and implementation of a balanced scorecard based on studying the experience of Russian organisations by N. V. Kuznetsova, P. Yu. Leonov

“…The authors of this work state detailed conclusions for each section indicating the detected motives for actions and predicting potential results. The algorithm for formulating recommendations for the development and implementation of the balanced scorecard identified at the beginning of the article finds its step-by-step development within the framework of the ongoing research and is accompanied by reasoned comments based both on previously published sources of information and on provisions proposed by the authors.…”
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Sistem Klasifikasi Monitoring dan Evaluasi Kelayakan Penerima Beasiswa UAD Menggunakan Algoritma Naïve Bayes by Dyllan Bagus Siswanto, Dwi Normawati

“…This eligibility determination system is needed, utilizing data mining techniques based on previous KIP scholarship recipient data to make predictions. Naïve Bayes algorithm, a data mining technique employing mathematical probability calculations, is utilized. …”
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Research on Vehicle Automatically Tracking Mechanism in VANET by Lin Wang, Shukui Zhang, Xiaoning Wang, Yang Zhang

“…By using VANET, some predictable status of tracing and tracking of intelligent vehicle technology was researched, and the communication protocols between two vehicles, the safe spacing algorithm, the method of computing the actual distance at corners and straights, and the trajectory of lane change were designed. …”
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A Day-Ahead Optimal Battery Scheduling Considering the Grid Stability of Distribution Feeders by Umme Mumtahina, Sanath Alahakoon, Peter Wolfs

“…By automating weather data acquisition, the methodology bridges the gap between weather predictions and practical energy management, providing utilities with a reliable tool for operating and integrating renewable energy. …”
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Development of artificial intelligence models for well groundwater quality simulation: Different modeling scenarios. by Naser Shiri, Jalal Shiri, Zaher Mundher Yaseen, Sungwon Kim, Il-Moon Chung, Vahid Nourani, Mohammad Zounemat-Kermani

“…Among all the applied AI models, the developed hybrid support vector machine-firefly algorithm (SVM-FFA) model achieved the best predictability performance for both investigated scenarios. …”
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Markov State Model Approach to Simulate Self-Assembly by Anthony Trubiano, Michael F. Hagan

“…Using two model systems, we show that the multiMSM accurately predicts the concentrations of the full ensemble of intermediates on timescales required to reach equilibrium. …”
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Probability of stealth multiplets in sample-multiplexing for droplet-based single-cell analysis by Fumio Nakaki, James Sharpe

“…Results We developed a simple theoretical model to predict four classes of possible multiplets in mx-scRNA-seq: Homogeneous stealth, partial stealth, multilabelled, and unlabelled. …”
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Fingerprint-based Wi-Fi indoor localization using map and inertial sensors by Xingwang Wang, Xiaohui Wei, Yuanyuan Liu, Kun Yang, Xuan Du

“…Then we also present Kalman filter and Markov chain to predict the system status. The system is able to provide high-accuracy real-time tracking by integrating indoor map and inertial sensors with Wi-Fi signal strength. …”
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Using a multi-strain infectious disease model with physical information neural networks to study the time dependence of SARS-CoV-2 variants of concern. by Wenxuan Li, Xu Chen, Suli Liu, Chiyu Zhang, Guyue Liu

“…Furthermore, it can simulate observed or unobserved dynamics, infer time-dependent parameters, and enable short-term predictions. The experimental results also reveal variations in the intensity of control strategies implemented across these regions. …”
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Gene-boosted assembly of a novel bacterial genome from very short reads. by Steven L Salzberg, Daniel D Sommer, Daniela Puiu, Vincent T Lee

“…Our method includes a novel gene-boosting algorithm that uses amino acid sequences from predicted proteins to build a better assembly. …”
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The ensemble transform Schmidt–Kalman filter: A novel method to compensate for observation uncertainty due to unresolved scales by Zackary Bell, Sarah L. Dance, Joanne A. Waller

“…Abstract Data assimilation is a mathematical technique that uses observations to improve model predictions through consideration of their respective uncertainties. …”
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Exploring Price Patterns of Vegetables with Recurrence Quantification Analysis by Sofia Karakasidou, Athanasios Fragkou, Loukas Zachilas, Theodoros Karakasidis

“…The results offer insights into market behaviors, helping to inform better management strategies and policymaking and offer a possibility to predict variability of prices. This information can interest government policies in various directions, such as what products to develop for greater stability, identity for fluctuating prices, etc. …”
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