Hybrid incompressible SPH–machine learning approach for simulating natural convection in a porous intricate domain by Noura Alsedais, Abdelraheem M. Aly

“…The novelty of this work lies in developing a hybrid numerical-AI approach to analyze complex heat and mass transfer phenomena influenced by buoyancy effects, thermal radiation, and thermosolutal interactions, offering a computationally efficient alternative to traditional simulations. A comprehensive mathematical model is developed based on double-diffusive convection equations, incorporating Soret and Dufour effects, Darcy–Brinkman–Forchheimer modeling of the porous medium, and latent heat release from NEPCM. …”
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De Novo Design of Large Polypeptides Using a Lightweight Diffusion Model Integrating LSTM and Attention Mechanism Under Per-Residue Secondary Structure Constraints by Sisheng Liao, Gang Xu, Li Jin, Jianpeng Ma

“…By integrating a lightweight LSTM-attention neural network as the denoiser within a diffusion framework, PPD offers an innovative and efficient approach to polypeptide generation. …”
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Improving Na₂Ti₃O₇ Anode Performance in Sodium-Ion Batteries via a Al Doping by Chen Wu, Yuandong Xia, Kejing Song, Yongda Cao, Chenzhi Huang, Jiayi Chen, Yuan Wang, Chunliu Xu

“…However, its practical application is hindered by poor electronic conductivity, sluggish Na⁺ (de)intercalation kinetics, and interfacial instability, leading to inferior cycling stability, low initial Coulombic efficiency, and poor rate capability. In this work, micron-sized rod-like NTO and Al-doped NTO (NTO-Al) samples were synthesized via a one-step high-temperature solid-state method. …”
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FASN contributes to ADM resistance of diffuse large B-cell lymphoma by inhibiting ferroptosis via nf-κB/STAT3/GPX4 axis by Xing Zhong, Weiwei Zhang, Weiming Zhang, Nasha Yu, Wuping Li, Xiangxiang Song

“…Drug resistance is a critical impediment to efficient therapy of diffuse large B-cell lymphoma (DLBCL) patients. …”
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DM_CorrMatch: a semi-supervised semantic segmentation framework for rapeseed flower coverage estimation using UAV imagery by Jie Li, Chengyong Zhu, Chenbo Yang, Quan Zheng, Binhui Wang, Jingmin Tu, Qian Zhang, Sheng Liu, Xinfa Wang, Jiangwei Qiao

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Application of an improved ant colony optimization algorithm of hybrid strategies using scheduling for patient management in hospitals by Md. Limonur Rahman Lingkon, Md. Sazol Ahmmed

“…With an assigned efficiency of 83.5 %, it can swiftly arrive at the ideal gate assignment outcome by assigning 132 patients to 20 gates of hospital testing rooms. …”
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Cryptanalysis of image confidentiality scheme based on hybrid chaotic maps by Majid Khan, Noor Munir

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THE EFFECT OF LINEZOLID AGAINST VANCOMYCIN-RESISTANT ENTEROCOCCI BY VARIOUS METHODS by Başak Sıla Eyüp, Gülseren Aktaş

“…The efficiency of linezolid in strains was investigated by disk diffusion, E-test and microdilution methods. …”
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Direct Conditional Score Modeling for Accelerated MRI Reconstruction by Hongki Lim

“…Recent state-of-the-art methods for MRI reconstruction often employ diffusion-based generative models, but face challenges in incorporating measurement information through likelihood-based updates. …”
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Modeling trends in multicomponent gas membrane separation process: a review by Chukwuebuka Aninwede, Lukas Kratky

“…In this study, a comprehensive overview of standard mass transfer approaches and trends in mathematical modeling used by different authors in the literatures for efficient prediction of permeability, selectivity, and flux rate through hollow fiber membrane modules for multicomponent gas separation has been reviewed. …”
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Physics-Informed Neural Network-Based Inverse Framework for Time-Fractional Differential Equations for Rheology by Sukirt Thakur, Harsa Mitra, Arezoo M. Ardekani

“…Recent advancements in Physics-Informed Neural Networks (PINNs) offer a data-efficient framework for solving such inverse problems, yet most implementations are restricted to integer-order derivatives. …”
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Transferable Contextual Network for Rural Road Extraction from UAV-Based Remote Sensing Images by Jian Wang, Renlong Wang, Yahui Liu, Fei Zhang, Ting Cheng

“…TCNet integrates the clustered contextual Transformer (CCT) module, clustered cross-attention (CCA) module, and CBAM attention mechanism to ensure efficient model transferability across different geographical and climatic conditions. …”
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Molecular rotor as a high-temperature Brownian motor by O. Ye. Tsomyk, T. Ye. Korochkova, V. M. Rozenbaum

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LMI Approach to Exponential Stability and Almost Sure Exponential Stability for Stochastic Fuzzy Markovian-Jumping Cohen-Grossberg Neural Networks with Nonlinear p-Laplace Diffusio... by Ruofeng Rao, Xiongrui Wang, Shouming Zhong, Zhilin Pu

“…The robust exponential stability of delayed fuzzy Markovian-jumping Cohen-Grossberg neural networks (CGNNs) with nonlinear p-Laplace diffusion is studied. Fuzzy mathematical model brings a great difficulty in setting up LMI criteria for the stability, and stochastic functional differential equations model with nonlinear diffusion makes it harder. …”
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Exploring deep generative models for improved data generation in hypertrophic cardiomyopathy by Swarajya Madhuri Rayavarapu, Gottapu Sasibhushana Rao

“…These findings underscore the trade-off between image quality and computational efficiency and highlight the potential of deep generative models to augment MRI datasets, thereby improving deep learning applications for HCM diagnosis. …”
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Basic Parameters of Medical Textile Materials for Removal and Retention of Exudate from Wounds by Mykola Riabchykov, Liudmyla Nazarchuk, Oksana Tkachuk

“…Exudate from wounds and therapeutic fluids from a dressing must move through material with the necessary efficiency. This ensures that unwanted substances are removed from the wound and the necessary moisture is maintained. …”
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Advanced solar radiation prediction using combined satellite imagery and tabular data processing by Mohammed Attya, O. M. Abo-Seida, H. M. Abdulkader, Amgad M. Mohammed

“…The experiments done prove the efficiency of the used stage such as missing pixel imputation, removing noise, missing data imputation and prediction using LSTM when compared with other available techniques. …”
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Applications of information navigation method in wireless sensor networks by Wei WEI, Liang ZHANG, De-ke GUO, Pei-yi SHEN

“…For adapting to a novel architecture of WSNs,which supports information query and navigation systems through construction of the virtual potential field.Under the premise of diffusion equation and poisson-based formula,a novel method was proposed which can accomplish the navigation more conveniently and more efficiently.In order to guarantee the accuracy of navigation,the relative knowledge of information transmission and the partial differential process(diffusion equation)in electric potential field was utilized,meanwhile gradient descent method was also applied in the process of application.A complete mathematical derivation was used.Tiny-OS simulations show the method can efficiently overcome the original WSNs weakness that network configuration abilities of information navigation are not good enough.Simultaneously,during the process of explore the navigation computation,structures of diffusion equation are more flexible and adaptability.…”
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Eco-friendly approach to corrosion inhibition of aluminum by Congo red dye in alkaline media: Experimental assessment, QSAR modeling, diffusion studies, and DFT/MC/MD simulations by Ayoub Chahid, Said Meftah, Mohamed Essahli, Mohammed Chafi, Rachid Kellal, Driss Benmessaoud Left, Mustapha Zertoubi

“…Weight loss measurements showed a maximum inhibition efficiency of 87.5 % at 1200 ppm, with decreased efficiency at higher temperatures, indicating a physical adsorption mechanism. …”
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Study on the Phosphate Compound Adsorption onto MgO-KOH/Biochar Adsorbent as Binding Agent in Diffusive Gradient in Thin Film (DGT) Technique for Bioavailable Phosphate Detection by Indah Permatasari, Asep Saefumillah

“…In this study, MgO-KOH/biochar was used as a binding agent in the Diffusive Gradient in Thin Films (DGT) technique to enhance phosphate detection. …”
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