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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Detection of change in vegetation cover using multi-spectral and multi-temporal information for District Sargodha, Pakistan / Detecção de alteração na cobertura vegetal com uso de... by Farooq Ahmad

“…The results can be utilized as a temporal landuse change model for Punjab province of Pakistan to quantify the extent and nature of change and assist in future prediction studies. This will support environmental planning to develop sustainable landuse practices.…”
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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

“…Second, we design a Wi-Fi signal propagation-based cluster algorithm to reduce the amount of computation. The paper gives a parameter called reliability to overcome the skewing of inertial sensors. …”
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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

“…In our experiments, we found that this algorithm can accurately fit the reported data of the British Columbia (BC) province and its five internal health agencies in Canada. …”
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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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Improving classifier decision boundaries and interpretability using nearest neighbors by Johannes Schneider, Arianna Casanova

“…To address this issue, we propose a simple algorithm that performs a weighted average of a sample’s prediction and those of its nearest neighbors (computed in latent space), leading to minor but favorable outcomes across a variety of important performance measures for neural networks. …”
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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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SC-PREC4SA: A serially complete daily precipitation dataset for South America by Adrian Huerta, Roberto Serrano-Notivoli, Stefan Brönnimann

“…The homogenization algorithm, focused primarily on wet days, effectively reduced inhomogeneities while preserving precipitation variability across South America. …”
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Exploring Price Patterns of Vegetables with Recurrence Quantification Analysis by Sofia Karakasidou, Athanasios Fragkou, Loukas Zachilas, Theodoros Karakasidis

“…In future work, a larger dataset including missing data could be included, as well as a machine-learning algorithm to classify the products based on the RQA with epochs graphs.…”
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Bayesian Regularization Backpropagation Neural Network for Glass Beams in Lateral–Torsional Buckling by Saddam Hussain, Chiara Bedon, Gaurav Kumar, Zaheer Ahmed

“…The present study examines how machine learning (ML) techniques can be used to predict the response of laterally unrestrained LG beams in LTB. …”
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Three-Dimensional Aerodynamic Optimization of Single-Layer Reticulated Cylindrical Roofs Subjected to Mean Wind Loads by Bingbing San, Chen Xu, Ye Qiu

“…Four turbulence models (standard k-ε, RNG k-ε, SST k-ω, and RSM) were used to predict the mean wind loads on cylindrical roofs. …”
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MATHEMATICAL MODELING OF EPILEPTOGENESIS PROCESS IN DIFFERENT AGE GROUPS Kalinin V. A. by V. A. Kalinin, I. A. Poverennova, E. M. Beketova, M. A. Gromakovskaya

“…Conclusion.Using the algorithm described  in clinical practice as a supplementary  budget method with the routine EEG and video-EEG monitoring for epilepsy will predict an individual patient and change pharmacotherapy due time for the rapid achievement  of remission  counter. …”
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Evaluating women’s happiness levels with ARASsort: The case of Türkiye by Semiha Bal, Gül Tekin Temur, Sait Gül

“…Then, a multiple attribute decision-making algorithm-based sorting methodology, ARASsort, is utilized to evaluate how women’s happiness levels are affected by life satisfaction components in a developing country, Türkiye. …”
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MODEL FOR THE FORMATION OF A PROJECT TEAM COMPOSITION BASED ON DISCRETE OPTIMIZATION METHODS by S.M. Beketov, M.V. Dergachev, S.G. Redko

“…The paper examines existing approaches to team building and develops an algorithm that minimizes personnel costs while maintaining high efficiency. …”

Relationship Between Business Models of Banks and Stability of Economic Development by G. G. Gospodarchuk, A. V. Aistov, E. O. Suchkova

“…The models also differ from the existing models by the calculation algorithm of independent variables. The source of information is the official statistics of the Bank of Russia for the period 2008–2019. …”
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Artificial neural network method for forecasting price of purebred chicken egg in East Java by Ni'matur Rohmah, Iid Mufaidah

“…Forecasting can be used to predict future conditions by looking at trends in past conditions. …”
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Online determination of state of charge in lithium-ion batteries: influence of the state of health by Carlos Armenta-Deu

“…The paper describes a simple algorithm that relates the SOC of the battery with online battery voltage. …”
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Deep knowledge tracing and cognitive load estimation for personalized learning path generation using neural network architecture by Chunyan Tong, Changhong Ren

“…A dual-objective optimization algorithm balances knowledge acquisition with cognitive load management to generate paths that maintain optimal challenge levels. …”
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BERT-OntoSent: combining BERT language model with sentiment ontology for enhanced sentiment analysis on social media by Abdelweheb Gueddes, Mohamed Ali Mahjoub

“…SWRL rules within the ontology then refine BERT's predictions, enhancing robustness, particularly for negation and mixed sentiments, as formalized in our proposed refinement algorithm. …”
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