Pre-Warning for the Remaining Time to Alarm Based on Variation Rates and Mixture Entropies by Zijiang Yang, Jiandong Wang, Honghai Li, Song Gao

“…One challenge for the proposed method is how to determine an optimal pre-warning threshold by considering the uncertainties induced by the sample distribution of the remaining time to alarm, subject to the constraint of the required false warning rate. …”
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State of Health Estimation for Lithium-Ion Battery Using Partial Incremental Capacity Curve and Transfer Learning by Sheng Huang, Xuemei Wang, Longyun Kang, Di Xie, Xi Zhang

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Second-round effects of food prices on core inflation in Turkey by Türken Fatma, Yildirim Mustafa Ozan

“…Incorporating domestic and international macroeconomic variables, the model identifies second-round effects by imposing theory-based constraints and leveraging Bayesian methods. Results reveal that core inflation reacts strongly to food price shocks, with rising food prices worsening inflation expectations and amplifying second-round effects on overall inflation. …”
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The rarity of mutations and the inflation of bacterial effective population sizes by Rui Borges

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Improving the Minimum Free Energy Principle to the Maximum Information Efficiency Principle by Chenguang Lu

“…Friston proposed the Minimum Free Energy Principle (FEP) based on the Variational Bayesian (VB) method. This principle emphasizes that the brain and behavior coordinate with the environment, promoting self-organization. …”
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Virtual reality-augmented differentiable simulations for digital twin applications in surgical planning by Robin Cremese, Charlotte Godard, Alexis Bénichou, Thomas Blanc, Iwan Quemada, Christian L. Vestergaard, Bassam Hajj, Alex Barbier–Chebbah, François Laurent, Jean-Baptiste Masson

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An Entropy Dynamics Approach to Inferring Fractal-Order Complexity in the Electromagnetics of Solids by Basanta R. Pahari, William Oates

“…The approach uses an information-theoretic method by combining Shannon’s entropy with fractional moment constraints in time and space. …”
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Comment on “Opinion: Can uncertainty in climate sensitivity be narrowed further?” by Sherwood and Forest (2024) by N. Lewis

“…It also appraises L22's revisions to S20's methods and input assumptions and considers how these have contributed to the lowering and narrowing of the ECS range. …”
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Data-driven discovery and parameter estimation of mathematical models in biological pattern formation. by Hidekazu Hishinuma, Hisako Takigawa-Imamura, Takashi Miura

“…This method allows for parameter estimation under minimal constraints; i.e., it does not require time-series data or initial conditions and is applicable to various types of mathematical models. …”
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Intelligent Clustering and Adaptive Energy Management in Wireless Sensor Networks with KDE-Based Deployment by Mainak Kundu, Ria Kanjilal, Ismail Uysal

“…Simulation results demonstrate significant improvements in performance, including over 35% extension in network lifetime and higher coverage retention under energy constraints, compared to baseline methods such as LEACH and K-LEACH. …”
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Stereo Online Self-Calibration Through the Combination of Hybrid Cost Functions with Shared Characteristics Considering Cost Uncertainty by Wonju Lee

“…In this work, we propose a markerless method for obtaining stereo extrinsic calibration by employing nonlinear optimization on a manifold, which leverages the inherent observability property. …”
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Evaluation of prior probability distribution of undrained cohesion for soil in Nasiriyah by Ressol Shakir

“…It was concluded that Jeffreys method is used well with individual models at the mean value of cohesion of 28.66 kPa and the standard deviation of 1.19 kPa. …”
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Normalizing flow-assisted nested sampling on Type-II Seesaw model by Rajneil Baruah, Subhadeep Mondal, Sunando Kumar Patra, Satyajit Roy

“…We present the results of our detailed Bayesian exploration of the model parameter space subjected to theoretical constraints and experimental data corresponding to the 125 GeV Higgs boson, $$\rho $$ ρ -parameter, and the oblique parameters. …”
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Deterministic and statistical calibration of constitutive models from full-field data with parametric physics-informed neural networks by David Anton, Jendrik-Alexander Tröger, Henning Wessels, Ulrich Römer, Alexander Henkes, Stefan Hartmann

“…Finally, we consider experimental data and show that the results are in good agreement with a finite element method-based calibration. Due to the fast evaluation of PINNs, calibration can be performed in near real-time. …”
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Toward reliable fluorescence imaging: Optical prior-guided probabilistic reconstruction for structured illumination microscopy by Kun Lin, Junkang Dai, Huaian Chen, Yi Jin

“…Here we present PG-SIM, a probabilistic SIM reconstruction method based on Bayesian neural networks and incorporating graph representation learning (GRL) to model optical prior knowledge. …”
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A New Evidential Reasoning Rule Considering Evidence Correlation with Maximum Information Coefficient and Application in Fault Diagnosis by Shanshan Liu, Guanyu Hu, Shaohua Du, Hongwei Gao, Liang Chang

“…Existing correlation processing methods fail to comprehensively address both linear and nonlinear correlations inherent in such heterogeneous evidence systems. …”
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Approaching maximum resolution in structured illumination microscopy via accurate noise modeling by Ayush Saurabh, Peter T. Brown, J. Shepard Bryan IV, Zachary R. Fox, Rory Kruithoff, Cristopher Thompson, Comert Kural, Douglas P. Shepherd, Steve Pressé

“…Such methods therefore suffer from high-frequency artifacts, user-dependent choices of smoothness constraints making assumptions on biological features, and unphysical negative values in the recovered fluorescence intensity map. …”
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Genetic Strategies for Enhancing Rooster Fertility in Tropical and Humid Climates: Challenges and Opportunities by Jiraporn Juiputta, Vibuntita Chankitisakul, Wuttigrai Boonkum

“…We addressed the trends and scientific developments in male chicken genetic selection, together with the benefits and constraints of each method. This will help breeders and researchers to create the most successful genetic selection plans for the next generation of chickens.…”
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Multiframe Superresolution of Vehicle License Plates Based on Distribution Estimation Approach by Renchao Jin, Shengrong Zhao, Xiangyang Xu, Enmin Song

“…We show by way of experiments, under challenging blur with size 7 × 7 and zero-mean Gaussian white noise with variances 0.2 and 0.5, respectively, that the proposed method could achieve the peak signal-to-noise ratio (PSNR) of 22.69 dB and the structural similarity (SSIM) of 0.9022 under the noise with variance 0.2 and the PSNR of 19.89 dB and the SSIM of 0.8582 even under the noise with variance 0.5, which are 1.84 dB and 0.04 improvements in comparison with other methods.…”
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Using the Mid‐Holocene “Greening” of the Sahara to Narrow Acceptable Ranges on Climate Model Parameters by Peter O. Hopcroft, Paul J. Valdes, William Ingram

“…One possible explanation is the presence of systematic biases in the representations of atmospheric convection which might also impact future projections. We employ a Bayesian method to learn from an ensemble of present day and mid‐Holocene simulations that vary parameters in the convection, boundary layer and cloud schemes. …”
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