RADAR: Reasoning AI-Generated Image Detection for Semantic Fakes by Haochen Wang, Xuhui Liu, Ziqian Lu, Cilin Yan, Xiaolong Jiang, Runqi Wang, Efstratios Gavves

“…Current AI-generated image detection methods mainly focus on low-level features, such as detailed texture patterns and frequency domain inconsistency, which are specific to certain generative models, making it challenging to identify the above-mentioned general semantic fakes. …”
Get full text

Spatial and Temporal Changes in Nutrient Source Contribution in a Lowland Catchment Within the Baltic Sea Region Under Climate Change Scenarios by Damian Bojanowski, Paulina Orlińska‐Woźniak, Paweł Wilk, Ewa Jakusik, Ewa Szalińska

“…To track spatial and seasonal changes of total nitrogen and phosphorus for the Wełna River (central Poland), we used climate change data and the SWAT model. Having at our disposal a catchment model with a good performance we could follow not only total load changes in particular subcatchments, but also track localization of the pollution sources and their direct impact on load estimations. …”
Get full text

Unraveling the Determinant Mechanisms in Flow-Mediated Crystal Growth and Phase Behaviors by L. Connor Willis, Tesia D. Janicki, Rekha R. Rao, Z. Leonardo Liu

Get full text

Recent advancements in prospective life cycle assessment: Current practices, trends, and implications for future research by Anissa Nurdiawati, Basit A. Mir, Sami G. Al-Ghamdi

“…It discusses methodological advancements in pLCA, including prospective life cycle inventory (pLCI) database, foreground modeling, scenario development and prospective life cycle impact assessment, offering insights for practitioners. …”
Get full text

Mesoscale Eddy‐Induced Sharpening of Oceanic Tracer Fronts by Yueyang Lu, Igor Kamenkovich

“…The eddy‐driven frontogenesis is further described in terms of a recently proposed framework of generalized eddy‐induced advection, which represents all those eddy effects on tracers that are not due to eddy‐induced mass fluxes and are traditionally parameterized by isopycnal diffusion. …”
Get full text

A Mathematical Survey of Image Deep Edge Detection Algorithms: From Convolution to Attention by Gang Hu

“…Attention mechanisms, as in EdgeNAT (ODS 0.860) and RankED (ODS 0.824), enhance global context, while generative models like GED (ODS 0.870) achieve state-of-the-art precision via diffusion and GAN frameworks. …”
Get full text

Evaluation of young people’s perceptions and comfort levels in sharing information via ride-matching apps by Christos Gkartzonikas, Loukas Dimitriou

“…Technological advancements and digital platforms, such as ride-matching apps, can lead to the effective diffusion of shared transportation services. University campuses and young people constitute a prime example pertaining to the successful implementation of shared transportation services, however young people’s preferences have differences compared to general population. …”
Get full text

New Criteria to Estimate Local Thermal Nonequilibrium Conditions for Heat Transport in Porous Aquifers by Wenguang Shi, Quanrong Wang, Maria Klepikova, Hongbin Zhan

“…The performances of the newly developed general criteria are demonstrated using three typical data sets and corresponding numerical models. …”
Get full text

CALCULATION OF WEIGHT COEFFICIENTS IN CONTINUOUS PARTICLE FILTER by K. A. Rybakov

“…This representation is based on paths modeling of the general Poisson process. The relation with the differential equation for the weight function is indicated. …”
Get full text

The Impact of Microstructure Geometry on the Mass Transport in Artificial Pores: A Numerical Approach by Matthias Galinsky, Ulf Sénéchal, Cornelia Breitkopf

“…In this study, DSMC (Direct Simulation Monte Carlo) models were used to investigate the impact of pore microstructures on the diffusion behaviour of gases. …”
Get full text

Designing a Fully‐Tunable and Versatile TKE‐l Turbulence Parameterization for the Simulation of Stable Boundary Layers by É. Vignon, K. Arjdal, F. Cheruy, M. Coulon‐Decorzens, C. Dehondt, T. Dubos, S. Fromang, F. Hourdin, L. Lange, L. Raillard, G. Rivière, R. Roehrig, A. Sima, A. Spiga, P. Tiengou

“…Abstract This study presents the development of a so‐called Turbulent Kinetic Energy (TKE)‐l, or TKE‐l, parameterization of the diffusion coefficients for the representation of turbulent diffusion in neutral and stable conditions in large‐scale atmospheric models. …”
Get full text

Kinetic Coefficients for Mixed Adsorbate Fluids in Narrow Pores by Yu.K. Tovbin, A.B. Rabinovich, D.V. Yeremich

“…The kinetic coefficients (trace diffusion, mutual diffusion and shear viscosity) of molecules in slit-like and sphero-cylindrical mesoporous systems were studied in terms of the modified lattice-gas model (LGM). …”
Get full text

A Numerical Algorithm Applied to Free Convection Flows of the Casson Fluid along with Heat and Mass Transfer Described by the Caputo Derivative by Ndolane Sene

“…In this paper, we present a class of numerical schemes and apply it to the diffusion equations. The objective is to obtain numerical solutions of the constructive equations of a type of Casson fluid model. …”
Get full text

Stochastic Differential Games and a Unified Forward–Backward Coupled Stochastic Partial Differential Equation with Lévy Jumps by Wanyang Dai

“…The coupling between forward and backward SPDEs essentially corresponds to the interaction between noise encoding and noise decoding in the current hot diffusion transformer model for generative AI.…”
Get full text

Fast and Analytical EAP Approximation from a 4th-Order Tensor by Aurobrata Ghosh, Rachid Deriche

“…Generalized diffusion tensor imaging (GDTI) was developed to model complex apparent diffusivity coefficient (ADC) using higher-order tensors (HOTs) and to overcome the inherent single-peak shortcoming of DTI. …”
Get full text

Strong-field magnetohydrodynamics for neutron stars by Shreya Vardhan, Sašo Grozdanov, Samuel Leutheusser, Hong Liu

“…This constitutive relation not only reproduces the phenomena of Ohmic decay, ambipolar diffusion, and Hall drift derived in a phenomenological model by Goldreich and Reisenegger, but also reveals terms in the evolution of the magnetic field which cannot easily be seen from such microscopic models. …”
Get full text

Deep learning for Parkinson’s disease classification using multimodal and multi-sequences PET/MR images by Yan Chang, Jiajin Liu, Shuwei Sun, Tong Chen, Ruimin Wang

“…The PET models outperformed MRI models. The 11C-methyl-N-2β-carbomethoxy-3β-(4-fluorophenyl)-tropanel (11C-CFT) -Apparent Diffusion Coefficient (ADC) model showed the best classification, which resulted in 0.97 accuracy, 0.93 precision, 0.95 recall, 0.92 F1, and 0.96 AUC. …”
Get full text

Peculiarities of U(VI) sorption on composites containing hydrated titanium dioxide and potassium-cobalt hexacyanoferrate(II) by O. V. Perlova, Yu. S. Dzyazko, A. A. Malinovska, A. V. Palchik

Get full text

Physico-Chemical Properties of Granular Sorbents Based on Natural Bentonite Modified by Polyhydroxocations of Aluminum and Iron (III) by Co-Precipitation by Bakytgul Kussainova, Gaukhar Tazhkenova, Ivan Kazarinov, Marina Burashnikova, Raigul Ramazanova, Yelena Ivashchenko, Bekzat Saurbayeva, Batima Tantybayeva, Ainur Seitkan, Gulsim Matniyazova, Khalipa Sadiyeva, Aisha Nurlybayeva, Aidana Bazarkhankyzy

Get full text

The effect of the surface recombination velocity on 2D thermoelastic semiconductor solid sphere problem by H. Sherief, M. Fayik, A. Abd El-Latief, M. Naim Anwar, A.M. Tawfik, A. Elsayed

“…In the second, a Robin-type boundary condition is applied, allowing the incorporation of surface recombination velocity to capture the dynamic interaction between the surface and the carrier diffusion process. The generalized mathematical model encompasses several previously established formulations as special cases, enabling a unified theoretical framework and direct comparison with earlier results. …”
Get full text