An ECoG-Based Binary Classification of BCI Using Optimized Extreme Learning Machine by Xinman Zhang, Qi Xiong, Yixuan Dai, Xuebin Xu, Guokun Song

“…In order to improve the accuracy of brain signal processing and accelerate speed meanwhile, we present an optimal and intelligent method for large dataset classification application in this paper. …”
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TSP solution using an exact model based on the branch flow formulation and automatic cases generation via the Julia software by Oscar Danilo Montoya, Walter Gil-González, Luis Fernando Grisales-Noreña, Rubén Iván Bolaños, Jorge Ardila-Rey

“…This research proposes an efficient mixed-integer linear programming (MILP) model based on the branch flow formulation which prevents the formation of sub-tours during the solution process and guarantees valid optimal routes. Implemented in Julia with the JuMP optimization package and the HiGHS solver, the model achieves high computational efficiency. …”
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Research on fault location method for micro-grid based on multi-source information fusion alarm by YANG Zhichun, LI Muyuan, HAN Ji, YANG Fan, SHEN Yu, MIN Huaidong

“…The faults in the micro-grid are modeled using the symmetrical component method, and the characteristics of short-circuit faults are analyzed by solving the positive and negative sequence network differential equations. Similarity computation is used to process and visualize the data, and convolutional neural network (CNN) is employed to identify the fault information, thereby achieving intelligent generation of alarm information. …”
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Severe floods predictive ability: A proxy based probabilistic assessment of the Italian early warning system by Francesco Silvestro, Luca Molini, Fausto Guzzetti, Federico Schiavi, Fabio Castelli, Luca Ferraris

“…The novelty of this approach is that, by applying this methodology extensively in space and time, the probability curves of the variable T for each warning level are computed, allowing to evaluate the consistency between the warnings and the actual (estimated) severity of the event. …”
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Uncertainty quantification of thermal barrier coatings lifetime on rotating turbine blades considering chemo-thermo-mechanically coupling failure by Weiliang Yan, Cong Li, Qianqian Zhou, Yuqi Xie, Yu Sun, Li Yang, Yichun Zhou

“…The lifetime prediction of thermal barrier coatings (TBCs) on rotating turbine blades remains a significant challenge due to the complex service environment and multi-physics failure mechanisms. A computationally efficient multiscale uncertainty quantification model based on an adaptive Gaussian Process was developed. …”
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SPACe: an open-source, single-cell analysis of Cell Painting data by Fabio Stossi, Pankaj K. Singh, Michela Marini, Kazem Safari, Adam T. Szafran, Alejandra Rivera Tostado, Christopher D. Candler, Maureen G. Mancini, Elina A. Mosa, Michael J. Bolt, Demetrio Labate, Michael A. Mancini

“…To efficiently analyze this big data, available open-source software requires computational resources usually not available to most laboratories. …”
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Electrodynamic Attitude Stabilization of a Spacecraft in an Elliptical Orbit by Maksim A. Klyushin, Margarita V. Maksimenko, Alexey A. Tikhonov

“…The convergence of the control process is verified by computer modeling. Thus, the possibility and advisability of using the electrodynamic method for the spacecraft attitude control and its angular stabilization in the orbital coordinate system in an elliptical orbit is shown.…”
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Successful endovascular thrombectomy of a dislodged hemodialysis catheter fragment and thrombus from the superior vena cava via the basilic vein: A case report by Charlotte Wintergerst, Katharina Vogt, Michael Doppler, Eric Peter Prager, Wibke Uller, Elif Can

“…In multimorbid patients with end-stage kidney disease awaiting renal transplantation, thromboembolic events may significantly complicate and delay the transplantation process. In the period bridging the transplant, hemodialysis is often carried out using a hemodialysis catheter, which is susceptible to complications. …”
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Finite Particle Method-Based Collapse Simulation of Space Steel Frame Subjected to Earthquake Excitation by Xiao-Hong Long, Rong Yue, Yong-Tao Ma, Jian Fan

“…In the process of collapse failure of the space steel frame subjected to earthquake excitation, complex behaviors often are involved, including geometric nonlinearity, material nonlinearity, fracture, contact, and collisions. …”
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Prediction of the Marine Dynamic Environment for Arctic Ice-Based Buoys Using Historical Profile Data by Jingzi Zhu, Yu Luo, Tao Li, Yanhai Gan, Junyu Dong

“…A vortex is an important ocean dynamic process. If we can predict that a buoy is about to enter a vortex, we can automatically adjust the buoy’s sampling frequency to better observe the vortex’s structure and development. …”
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Tellurium‐Free, Sustainable Thermoelectric Device for Mid‐Temperature Waste Heat Recovery by Vaskuri C. S. Theja, Vaithinathan Karthikeyan, Sanjib Nayak, Gopalan Saianand, Vellaisamy A. L. Roy

“…Furthermore, the TEG performance via computational simulations for varied thermal gradients was validated. …”
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A Malignant Squeeze: A Rare Cause of Cardiac Tamponade by Elisa Quiroz, Adam Hafeez, Ramy Mando, Zhou Yu, Feroze Momin

“…Computed tomography of the chest revealed a pericardial effusion, and subsequent echocardiogram demonstrated a large circumferential effusion. …”
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Observer Design for a Class of Nonlinear Descriptor Systems: A Takagi-Sugeno Approach with Unmeasurable Premise Variables by J. Soulami, A. El Assoudi, M. Essabre, M. Habibi, E. El Yaagoubi

“…Finally, an application to a model of a heat exchanger pilot process is given to illustrate the performance of the proposed observer.…”
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An analytics-driven economic order quantity model integrating fuzzy learning for deteriorating imperfect items in sustainable supply chains by M. Palanivel, M. Venkadesh, S. Vetriselvi, M. Suganya

“…The findings are further reinforced by computational simulations and mathematical insights, demonstrating the practical applicability and robustness of the model.…”
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LMGDoc: Light Multigranular GNN for Efficient Document Understanding by Abdellatif Sassioui, Yasser Elouargui, Mohamed El Kamili, Rachid Benouini, El Mehdi Benyoussef, Meriyem Chergui, Mohammed Ouzzif

“…While recent transformer-based models have achieved strong performance, they typically rely on large-scale pretraining and have high computational demands, limiting their usability in real-time or resource-constrained settings. …”
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Multi-Criteria Decision Analysis in Drug Discovery by Rafał A. Bachorz, Michael S. Lawless, David W. Miller, Jeremy O. Jones

“…This allows the user to weight various objective functions differently, which, in turn, efficiently directs the generative chemistry process toward the desired areas in chemical space.…”
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A comprehensive study on methylene blue removal via polymer and protein nanoparticle adsorbents by Ali Fathi, Esrafil Asgari, Hossein Danafar, Hafezeh salehabadi, Mehran Mohammadian Fazli

“…Among these, adsorption process as an effective method due to its simplicity, cost-effectiveness, and reliability. …”
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Evaluation Method of Water Injection Development Effects in Fractured Vuggy Carbonate Reservoirs: Case Study of F_I7 Strike-Slip Fault Zone by Jie Geng, Long Xiao, Ping Yue, Yun Xiao, Hongnan Yang, Simin Qu, Xia Wang

“…The CRITIC method is used as the main approach, and the analytic hierarchy process, the entropy weight method, and the coefficient of variation method are used as sub-methods. …”
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Physics-based machine learning for predicting urban air pollution using decadal time series data by Cog Cao, Ramit Debnath, R Michael Alvarez

“…Although LSTM networks are well-suited for time series data, they require large datasets and are computationally expensive, limiting their use for physical process data like air pollution dynamics. …”
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Obstacle Detection and Warning System for Visually Impaired Using IoT Sensors by Sunnia Ikram, Imran Sarwar Bajwa, Amna Ikram, Isabel de la Torre Diez, Carlos Eduardo Uc Rios, Angel Kuc Castilla

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