PaleAle 6.0: Prediction of Protein Relative Solvent Accessibility by Leveraging Pre-Trained Language Models (PLMs) by Wafa Alanazi, Di Meng, Gianluca Pollastri

“…Inspired by the remarkable success of NLP techniques, this study leverages pre-trained language models (PLMs) to enhance RSA prediction. We present a deep neural network architecture based on a combination of bidirectional recurrent neural networks and convolutional layers that can analyze long-range interactions within protein sequences and predict protein RSA using ESM-2 encoding. …”
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Neural Networks vs. Regression: A Comparative Analysis in Medical Data Processing by Minodora ANDOR, Gheorghe Ioan MIHALAŞ

“…Conclusion: AI-based models are, indeed, recommended for data processing of large and/or unstructured complex medical data sets. …”
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A Novel Large-Particle Slow-Release Fertilizer Improves Nutrient Use Efficiency and Yield of Cassava by Boundary Layer Limitation by Cuicui He, Hua Wang, Guichun Li, Jie Huang, Dengfeng Wang, Xindao Qin, Wen Zhang, Dongming Wu, Yuanda Jiu, Min Zhao, Yi Xie, Qingmian Chen, Rongfei Zhou, Minggang Xu

“…., FTIR) and kinetic modeling revealed that the superior performance of LPF resulted from mineral crystal enrichment in the outer layer of fertilizer granules, facilitating intra-particle diffusion processes and imposing boundary layer limitations on nutrient release (e.g., N, P, and K). …”
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Olfactory dysfunction and altered cortical excitability in the mouse model of Fragile X Syndrome by Felipe Arancibia, Marcelo Rojas, Diego Becerra, Rocío Fuenzalida, Christian Cea-Del Rio, Jorge Mpodozis, Magdalena Sanhueza, Alexia Nunez-Parra

“…Here, we use a combination of behavioral tests and slice physiology tools to study the neurophysiological alterations underlying aberrant sensory processing in the olfactory system of the FXS mouse model (Fmr1 KO). …”
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Flat U-Net: An Efficient Ultralightweight Model for Solar Filament Segmentation in Full-disk Hα Images by GaoFei Zhu, GangHua Lin, Xiao Yang, Cheng Zeng

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Influence of physical shape and salting on tomato drying performance using mixed mode solar and open-air methods in semi-cloudy weather by Abdallah Elshawadfy Elwakeel, Guma Ali, Abdalla Zain Eldin, Mohamed Mahmoud Alsebiey, Aml Abubakr Tantawy, Mohammad S. AL-Harbi, Atef Fathy Ahmed, Khaled A. Metwally

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High-fidelity surrogate modelling for geometric deviation prediction in laser powder bed fusion using in-process monitoring data by Zhengrui Tao, Mirko Sinico, Bey Vrancken, Wim Dewulf

“…Visualisation techniques (Grad-CAM and attention maps) highlight critical regions and layers, enhancing model interpretability and demonstrating its potential for in-situ surface quality control.…”
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Modeling simulation of aerosol light absorption over the Beijing–Tianjin–Hebei region: the impact of mixing state and aging processes by H. Du, H. Du, J. Li, J. Li, J. Li, X. Chen, X. Chen, G. Curci, F. Yu, Y. Sun, Y. Sun, X. Dao, S. Guo, Z. Wang, Z. Wang, W. Yang, L. Wei, Z. Wang, Z. Wang, Z. Wang

“…The result under core–shell mixing is closest to the observations. The aging process and coating thickness were well reproduced by an advanced particle microphysics (APM) module in NAQPMS. …”
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AI-Driven Background Segmentation for High-Throughput 3D Plant Scans by Serkan Kartal, Jan Masner, Jana Kholova, Alexander Galba, Tharanya Murugesan, Rekha Baddam, Vojtech Mikes, Eva Kanska

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Short-term photovoltaic power forecasting based on a new hybrid deep learning model incorporating transfer learning strategy by Tiandong Ma, Feng Li, Renlong Gao, Siyu Hu, Wenwen Ma

“…First, the processed data are input into the DCNN layer, and the dilation convolution mechanism captures the spatial features of the wide sensory field of the input data. …”
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A Comprehensive Review on the Optimization of the Fused Deposition Modeling Process Parameter for Better Tensile Strength of PLA-Printed Parts by Tesfaye Mengesha Medibew

“…Fused Deposition Modeling (FDM) is a kind of Additive Manufacturing technology, which can produce complex parts by adding layer-by-layer mold automatically from 3D computer-aided design (CAD) data. …”
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Quantitative Evaluation of Karst Developmental Differences Based on Improved Analytic Hierarchy Process and Multidimensional Extension Matter Element Model by Xinyi Wang, Yu Zou, Qi Wang, Xiaoman Liu, Pingqing Zhang, Jianlin Li, Mengjie Yao

“…The weight of each index factor to the karst development was determined by using the improved analytic hierarchy process. The multidimensional extensional matter model was used to determine the degree of karst development of the four mining areas (named 1st to 4th) of the Pingdingshan mine No. 13. …”
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Advanced neural network-based model for predicting court decisions on child custody by Mohammad Abrar, Abdu Salam, Faizan Ullah, Muhammad Nadeem, Hussain AlSalman, Muaadh Mukred, Farhan Amin

“…In this phase, NLP and transformer-based models were employed and thus processed 3,000 annotated court rulings. …”
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Synergistic Framework for Fuel Cell Mass Transport Optimization: Coupling Reduced-Order Models with Machine Learning Surrogates by Shixin Li, Qingshan Liu, Yisong Chen

“…Facing the complex coupled process of thermal mass transfer and electrochemical reaction inside fuel cells, the development of a one-dimensional model is an efficient solution to study the influence of mass transfer property parameters on the transfer and reaction process, which can effectively balance the computational efficiency and accuracy. …”
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A Lightweight Framework for Rapid Response to Short-Term Forecasting of Wind Farms Using Dual Scale Modeling and Normalized Feature Learning by Yan Chen, Miaolin Yu, Haochong Wei, Huanxing Qi, Yiming Qin, Xiaochun Hu, Rongxing Jiang

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The Rapid Transition From Shallow to Precipitating Convection as a Predator–Prey Process by Cristian V. Vraciu, Julien Savre, Maxime Colin

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Water/Methane Two‐Phase Flow in the SiO2 Nanoslit Can Be Well Described via the Deformed Water Layer Model: A Molecular Simulation Study by Chao Zheng, Guang‐Jun Guo, Cheng Lu, Yanhui Dong, Bo Peng, Wei Tang, Bingyao Han

“…We proposed the “Deformed Water Layer (DWL) model” based on physical mechanisms, which can precisely describe methane relative permeability and forecast the critical water saturation for forming water lock. …”
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MHD couple stress boundary-layer flow with heat and mass transfer under thermal radiation and Marangoni effect: A numerical study by Jawali C. Umavathi, Bernardo Buonomo, Oronzio Manca, Mikhail A. Sheremet

“…Additionally, the study of the nanoparticle interfacial layer features under an appropriate nanofluid model has been performed. …”
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TDP-43 mutants with different aggregation properties exhibit distinct toxicity, axonal transport, and secretion for disease progression in a mouse ALS/FTLD model by Hideki Mori, Tokiharu Sato, Shintaro Tsuboguchi, Masahiko Takahashi, Yuka Nakamura, Kana Hoshina, Taisuke Kato, Masahiro Fujii, Osamu Onodera, Masaki Ueno

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Semi-empirical modeling of weaving process for high-quality and property of stainless steel in plasma arc directed energy deposition by Min-Kyeom Kim, Yongjian Fang, Juwon Kim, Sungho Heo, Youngseob Jang, Heesung Ahn, Yonghwi Kim, Wanki Lee, Jonghwan Suhr

“…To address this, we introduce a semi-empirical modeling approach for the weaving process using 316L austenitic stainless steel. …”
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