Article
Engineering, Electrical & Electronic
Heitor M. Rodrigues Junior, Igor D. Melo, Erivelton G. Nepomuceno
Summary: This paper proposes a novel methodology to determine interval results for power system load flow in three-phase unbalanced distribution networks. The proposed approach incorporates interval arithmetic and the Krawczyk operator to provide reliable interval three-phase results. The effectiveness of the method is demonstrated through computational simulations and its advantages over other methods are proven.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Mechanics
Haibing Peng
Summary: Despite the widespread use of Navier-Stokes equations in computational-fluid-dynamics (CFD), there are still unanswered questions due to the absence of considering the statistical nature of discrete air molecules. In this study, we propose a statistical mechanics-based approach called the volume-element method, which allows for the numerical evaluation of aerodynamic lift and drag. We obtained pressure and friction values as a function of the angle of attack for flat-plate airfoils, and this method can be directly applied to convex-shape airfoils and combined with Monte Carlo simulations for concave-shape airfoils. This approach not only has implications for aerodynamic applications, but also opens up possibilities for further applications in Boson or Fermi gases.
Article
Chemistry, Physical
Fred Sifuna Wanyonyi, Timothy Tizhe Fidelis, Hitler Louis, Gershom Kyalo Mutua, Francis Orata, Lydia Rhyman, Ponnadurai Ramasami, Anthony M. S. Pembere
Summary: The study focused on developing efficient adsorbents for removing anions in water. Screening and simulations were used to identify high-performing zeolites. The study also found charge transfer between zeolites and anions, and identified the most important descriptors for anion removal.
JOURNAL OF MOLECULAR LIQUIDS
(2022)
Article
Mathematical & Computational Biology
Lifeng Lin, Ariel M. Aloe
Summary: This study comprehensively reviewed and evaluated methods for synthesizing SMDs and found that Hedges' g may result in more bias than Cohen's d. It recommends using average-adjusted variance estimators for unbiased meta-estimation and the Hartung-Knapp-Sidik-Jonkman method for accurate confidence interval estimation.
STATISTICS IN MEDICINE
(2021)
Article
Engineering, Multidisciplinary
Sergio A. Carvajal, Andres F. Medina, Andres J. Bohorquez, Ciro A. Sanchez
Summary: The paper presents an approach that combines Bayesian inference and experimental data to determine the calibration intervals of instruments. This method is suitable for small sample sizes and allows for better utilization of previous knowledge about instrument performance compared to other methodologies.
Article
Psychology, Multidisciplinary
Kevin D. Bird
Summary: This article examines the evaluation of differences in effect sizes between dependent variables in a single study, which is usually based on differences between standard scores. The author proposes a new approach to construct confidence intervals for differential effects based on adjusted standard scores, leading to improved coverage probabilities compared to intervals constructed from unadjusted standard scores.
PSYCHOLOGICAL METHODS
(2023)
Article
Psychology, Multidisciplinary
Kevin D. Bird
Summary: This article evaluates the difference in effect sizes between two dependent variables in a single study and examines the impact of standardization. It finds that confidence intervals constructed from differences in standard scores based on samples can be too narrow, especially in within-subjects designs. To address this issue, the author proposes a new method to construct confidence intervals for differential effects, which shows improved coverage probabilities compared to those constructed from unadjusted standard scores.
PSYCHOLOGICAL METHODS
(2022)
Article
Physics, Multidisciplinary
K. L. Zhang, Z. Song
Summary: The study reveals that applying a nonlocal non-Hermitian perturbation to an Ising chain merges the topological Kramer-like degeneracy in the ferromagnetic phase, with distinct dynamic responses for different quantum phases. The phase diagram at zero temperature is completely preserved at finite temperatures.
PHYSICAL REVIEW LETTERS
(2021)
Article
Chemistry, Physical
Jiayu Zhang, Jian Wang, Chenyu Zhang, Zongbin Li, Juan Du, Yong Hu
Summary: By modulating the exchange interaction, a magnetic-to-thermal energy conversion can be achieved, reducing the influence of magnetic field on increment of magnetic entropy and enabling magnetically stabilized self-converted refrigerants.
Article
Optics
Ruoyu Chen, Shanbao Tong, Peng Miao
Summary: This study proposes a deep-learning-based strategy for high spatiotemporal resolution three-dimensional (3D) reconstruction from a single transilluminated laser speckle contrast image, providing more structural and functional details without multifocus two-dimensional (2D) imaging or 3D optical imaging with point/line scanning. The method utilizes convolution of vessel masks with depth-dependent point spread functions (PSF) to generate a large training dataset, and employs UNet and ResNet for deblurring and depth estimation. The blood flow in the reconstructed 3D vessels is estimated by a depth-dependent contrast model. The proposed method achieves high-fidelity structural reconstruction with a depth-independent estimation of blood flow, and is suitable for real-time monitoring of thick tissue and the diagnosis of vascular diseases.
Article
Thermodynamics
Ali Akbar Abdoos, Hatef Abdoos, Javad Kazemitabar, Mohammad Mehdi Mobashsher, Hooman Khaloo
Summary: This article presents a probabilistic intelligent method for wind power prediction to minimize the risk caused by the uncertainty of the generated power. The method includes analyzing wind power time series signals, creating training patterns, training patterns using machine learning, and making probabilistic predictions based on Monte-Carlo simulation. The results show that the method accurately predicts wind power generation in 10-minute intervals and can be effectively applied to both deterministic and probabilistic predictions.
Article
Computer Science, Artificial Intelligence
M. Babazadeh, O. Rezayfar, E. Jahani
Summary: In this study, a novel approach is proposed to calculate the reliability sensitivity parameter, by converting the non-linear limit state function to a linear one and introducing interval random variables to obtain a realistic result. The mouth-brooding fish algorithm (MBF) is used to capture the upper and lower bounds of the reliability sensitivity parameters. Illustrative examples showed the capability of the proposed approach in obtaining accurate and efficient results.
APPLIED SOFT COMPUTING
(2023)
Article
Crystallography
Joao M. M. Maia, Rui P. P. L. Ribeiro, Jose P. B. Mota
Summary: In this study, the adsorption equilibrium of methane and carbon dioxide on the metal-organic framework UiO-66 was investigated using molecular simulation. The results showed that a united atom forcefield based on the TraPPE parametrization was the most effective in describing the adsorption equilibrium, and the use of electrical charges significantly influenced CO2 adsorption.
Article
Chemistry, Physical
Shiyan Wang, Anirudh Venkatesh, Doraiswami Ramkrishna, Vivek Narsimhan
Summary: A Brownian bridge is a continuous random walk guided by an effective drift to control the endpoint of a stochastic process. While widely applicable in chemical science, the main limitation is the difficulty in determining the effective drift and solving the complex Backward Fokker-Planck equation.
JOURNAL OF CHEMICAL PHYSICS
(2022)
Article
Mechanics
Da Gao, Bijiao He, Chenggeng Wu, Guobiao Cai, Lihui Liu
Summary: This study compares the energy distribution of the chemical reaction C O-2 + O ? CO + O-2 using the Larsen-Borgnakke (L-B) and Q-K methods, and finds that only the Q-K method achieves detailed balance. The study also indicates that detailed balance is reached only when the collision temperature is used to adjust the activation energy, rather than the translational temperature.