Magnons from time-dependent density-functional perturbation theory and nonempirical Hubbard functionals by Luca Binci, Nicola Marzari, Iurii Timrov

“…Unlike methods that rely on empirical Hubbard U parameters to describe the ground state, and Heisenberg Hamiltonians for describing magnetic excitations, the methodology developed here probes directly the dynamical spin susceptibility (efficiently evaluated with TDDFPT throught the Liouville-Lanczos approach), and treats the linear variation of the Hubbard augmentation (in itself calculated non-empirically) in full at a self-consistent level. …”
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Comparison of numerical results of RSM turbulence models for the problem of asymmetrical plane diffuser by Madaliev Murodil, Usmonov Mavlonbek, Tillaboyeva Farangiz, Mamatov Akmaljon, Otakulov Bakhromjon, Ro’zaliyev Sherzodjon, Mamatova Zilolaxon

“…Currently, several types of models based on the second-order closure equations (RSM) have been developed: RSM S-omega, RSM BLS and RSM Linear L-S. Each of these models has its own characteristics, which allows us to evaluate their efficiency under various flow conditions. …”
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Methods of a Priori Statistical Analysis of Disturbed Motion of Aircraft in Turbulent Environments by Alexander S. Ermilov, Olga A. Saltykova

“…This will make it possible to improve the efficiency of forecasts in a shorter time and reduce resource costs.…”
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Developing a sustainable, dynamic, and long-term optimization model of an integrated energy supply system while considering renewable energy storage technologies for a residency bu... by Sara Azamian

“…Two factors within Iran that exacerbate the severity of this issue should be noted: substantial potential for renewable energy and the substandard efficiency of its energy systems that necessitate urgent attention and replacement. …”
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Revolutionizing RIS Networks: LiDAR-Based Data-Driven Approach to Enhance RIS Beamforming by Ahmad M. Nazar, Mohamed Y. Selim, Daji Qiao

“…The permutation-equivariant and -invariant properties of the GNN proved advantageous in efficiently handling the LiDAR data. Our simulation results demonstrated significant improvements in sum rates compared with conventional methods. …”
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Trajectory Planning and Optimisation for Following Drone to Rendezvous Leading Drone by State Estimation with Adaptive Time Horizon by Javier Lee Hongrui, Sutthiphong Srigrarom

“…The tests discussed in this paper then demonstrated the following: the EKF predictive method achieved a significantly higher neutralisation rate (41%) compared to the PF method (30%) in linear trajectory scenarios, and a similar neutralisation rate of 5% in stochastic trajectory scenarios. …”
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The Impact of Financial Performance on the Technology Sector Stock Price Listed on the Indonesia Stock Exchange in 2021–2023 by Citra Dwinata, Wiwin Indri Astuti, Ario Purdianto

“…The research method used is a quantitative approach with the application of multiple linear regression analysis, using the help of SPSS software version 27. …”
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Exploring the impact of ESG factors on corporate risk: empirical evidence for New York Stock Exchange listed companies by Silvia-Andreea Peliu

“…By understanding and correctly evaluating these ESG factors, one can identify and manage risks more efficiently, achieve better long-term returns, make appropriate decisions, and promote sustainability in the business environment.…”
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An Empirical Analysis of Anti-Cancer Drug Lags in South Korea by Sung Kyung Lee, Jong Hyuk Lee

“…For the same set of cancer drugs, the drug lags observed in South Korea were compared with those of United States, European Union, and Japan. Multivariate linear regression and multivariate Cox regression analyses were performed to conduct quantitative analyses. …”
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Modeling and experimental validation of a 2D electro-hydraulic servo proportional valve by bond graph by Hao Xu, Feixiang Jin, Tingbo Hou, Wangpiao Lin, Dexun Zhang

“…However, existing 2D valve models based on linear theory struggle to capture its nonlinear characteristics and are limited to specific steady-state conditions. …”
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Enhancing Sink-Location Privacy in Wireless Sensor Networks through -Anonymity by Guofei Chai, Miao Xu, Wenyuan Xu, Zhiyun Lin

“…Furthermore, to solve k -anonymity sink-location problems more efficiently, we develop an artificial potential-based quasi-optimal (APQO) method that is of linear time complexity. …”
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Innovative Suspension Structures: The Role of Straight Elements Under Asymmetric Loads by Algirdas Juozapaitis, Alfonsas Daniūnas

“…Suspension structures, known for their excellent properties, have been widely used to cover medium and large spans. Their efficiency lies in their ability to primarily withstand permanent and variable loads through tension. …”
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Two-stage Mamba-based diffusion model for image restoration by Lei Liu, Luan Ma, Shuai Wang, Jun Wang, Silas N. Melo

“…Diff-Mamba integrates the linear complexity state space model (SSM, also known as Mamba) into image restoration, expanding its applicability to visual data generation. …”
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Investigating the influential factors on microbially induced calcium carbonate precipitation: effects of cell density, temperature, and calcium concentration by N. Erdmann, K. Aldabbousi, D. Strieth

“…Reaction kinetics demonstrated a linear correlation between cell density and ureolysis (k urea) and calcium carbonate precipitation (k calcium,) with high densities driving rapid reaction rates. …”
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A machine learning approach for wind turbine power forecasting for maintenance planning by Hariom Dhungana

“…The interpretable ML includes Linear Regression (LR), K-Nearest Neighbors (KNN), eXtreme Gradient Boosting (XGBoost), Random Forest (RF); the explainable ML consists of graphical Neural network (GNN); and the blackbox model includes Multi-layer Perceptron (MLP), Recurrent Neural Network (RNN), Gated Recurrent Unit (GRU), and Long Short-Term Memory (LSTM). …”
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ASSESSING THE IMPACT OF SOCIAL WELFARE ON INCOME INEQUALITY AND SUSTAINABLE ECONOMIC DEVELOPMENT IN THE EUROPEAN UNION by MECA ALINA, ZLATI MONICA LAURA, VALENTIN-MARIAN ANTOHI, COSTINELA FORTEA

“…The methodology used is based on a generalized linear regression model estimated using Eurostat data to determine the influence of each variable on income distribution. …”
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Balancing resource utilization and slice dissatisfaction through dynamic soft slicing for 6G wireless networks by Zeinab Sasan, Siavash Khorsandi

“…The problem is formulated as a Mixed Integer Linear Programming (MILP) model, aiming to maximize network utilization while minimizing slice dissatisfaction. …”
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Prediction and optimization of hardness in AlSi10Mg alloy produced by laser powder bed fusion using statistical and machine learning approaches by İnayet Burcu Toprak

“…The findings contribute significantly to the literature and serve as a valuable reference for future research aimed at improving LPBF process efficiency and performance.…”
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Modeling formamide denaturation of probe-target hybrids for improved microarray probe design in microbial diagnostics. by L Safak Yilmaz, Alexander Loy, Erik S Wright, Michael Wagner, Daniel R Noguera

“…Sigmoidal denaturation profiles were obtained using fluorescently labeled and fragmented 16S rRNA gene amplicon of Escherichia coli as the target with increasing concentrations of formamide in the hybridization buffer. A linear free energy model (LFEM) was developed and microarray-specific nearest neighbor rules were derived. …”
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Long distance calls: Negligible information loss of little auk social vocalisations due to high frequency propagation losses. by Anna N Osiecka, Przemysław Bryndza, Elodie F Briefer, Katarzyna Wojczulanis-Jakubas

“…How well does the information contained in vocal signals travel through the environment? To assess the efficiency of information transfer in little auk (Alle alle, an Arctic seabird) calls over distance, we selected two of the social call types with the highest potential for individuality coding. …”
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