Comprehensive evaluation of the color-leaf plants introduced in Northern Anhui based on analytic hierarchy process by ZHANG Xiaowei, GONG Xuemei, LI Lin, ZHOU Zhixiang, LIU Dan

“…As indicated by the weight value of standard layer in the comprehensive evaluation model, color duration, leaf color and cold resistance are important factors to evaluate introduced color-leaf plants. …”
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Computational analysis of entropy generation in EMHD micropolar dusty fluid flow incorporating esterification process by Aziz Ullah Awan, Muzammil Hussain, Bagh Ali, N. Ameer Ahammad, Fehmi Gamaoun, Jeevan Kafle, Sohail Nadeem

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Piezoelectric Sensors Placement Strategy for Accurate Acoustic Data Evaluation in Cavitation-induced Erosion Processes by A. Nasseroleslami, A. Sarreshtehdari, M. S. Seif

“…The Film Applicator has been employed as the optimal tool for achieving a uniform color and a thin paint layer on the sample plate. Through CFD modeling, potential cavitation zones are identified under various test conditions to refine the placement of piezoelectric sensors in experimental tests. …”
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Analysis of thermo-hydro-mechanical coupling characteristics of artificial freezing process under seepage effects by Peipei Chen, Fengling Yin, Manqi Wang

“…Based on Darcy’s law, mass conservation, momentum conservation, and energy conservation, a thermo - hydro - mechanical coupling theoretical model considering seepage effects is derived. The finite element platform is redeveloped to numerically model the artificial freezing process under seepage effects and verify it through experiments. …”
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Clinical XLNet-based End-to-End Knowledge Discovery on Clinical Text Data using Natural Language Processing by Naveen S. Pagad, Pradeep Nijalingappa, Tulika Chakrabarti, Prasun Chakrabarti, Pugazhenthan Thangaraju

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Pseudotachylyte Formation in Brittle–Ductile Transition of the Anning River Fault Zone: Implications for Seismic Processes by Wenhao Dai, Yongsheng Zhou, Huiru Lei, Xi Ma, Jiaxiang Dang, Sheqiang Miao, Shimin Liu, Changrong He

“…Pseudotachylytes and cataclasites record transient seismic slips within the brittle–ductile transition zone and ductile flow layers. Investigating the mechanisms of pseudotachylytes can provide the most direct geological evidence for revealing seismic fault slip and coseismic processes. …”
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Large Language Model Enhanced Particle Swarm Optimization for Hyperparameter Tuning for Deep Learning Models by Saad Hameed, Basheer Qolomany, Samir Brahim Belhaouari, Mohamed Abdallah, Junaid Qadir, Ala Al-Fuqaha

“…Determining the ideal architecture for deep learning models, such as the number of layers and neurons, is a difficult and resource-intensive process that frequently relies on human tuning or computationally costly optimization approaches. …”
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Land Use/Land Cover Change Impact on Hydrological Process in the Upper Baro Basin, Ethiopia by Tewodros Getu Engida, Tewodros Assefa Nigussie, Abreham Berta Aneseyee, John Barnabas

“…Understanding the hydrological process associated with Land Use/Land Cover (LU/LC) change is vital for decision-makers in improving human wellbeing. …”
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Computational fluid dynamic analysis of temperature distribution on the integrated pyrolysis–fractionation process of used oil by Maya Ramadianti Musadi, Etih Hartati, Sofia Umaroh, Adinda Azzahra Dwi Maharani, Senna Joseph Yogaswara, Faza Rosada, Siti Salma Humaidah

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Influence of 3D printing orientations on mechanical properties for polymeric models by Waleed Kh. Omar, Abdulhaqq A. Hamid

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Integrating protein language models and automatic biofoundry for enhanced protein evolution by Qiang Zhang, Wanyi Chen, Ming Qin, Yuhao Wang, Zhongji Pu, Keyan Ding, Yuyue Liu, Qunfeng Zhang, Dongfang Li, Xinjia Li, Yu Zhao, Jianhua Yao, Lei Huang, Jianping Wu, Lirong Yang, Huajun Chen, Haoran Yu

“…Advances in machine learning and automated biofoundry present new opportunities for optimizing these processes. This study devises a protein language model-enabled automatic evolution platform, a closed-loop system for automated protein engineering within the Design-Build-Test-Learn cycle. …”
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Deep exploration of logical models of cell differentiation in human preimplantation embryos by Mathieu Bolteau, Célia Messaoudi, Laurent David, Jérémie Bourdon, Carito Guziolowski

“…Here, we focus on the maturation process of the trophectoderm (TE), the outer layer of cells of human embryos, which is critical for their ability to attach to the endometrium. …”
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Transport in reverse osmosis membranes: observations and comments on the pore flow model versus the solution‒diffusion model by Takeshi Matsuura, Michael D. Guiver, Woei Jye Lau, Ahmad Fauzi Ismail

“…It is interesting to note that, according to Srinivasa Sourirajan, one of the co-inventors of cellulose acetate RO membrane, their work was guided by the Preferential Sorption‒Capillary Flow model. Moreover, he wrote that this pore model was based on the presence of a pure water layer at the salt solution‒air interface, which could be predicted by the Gibbs Adsorption Isotherm. …”
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Evaluation of the Parameters and Conditions of Process in the Ethylbenzene Dehydrogenation with Application of Permselective Membranes to Enhance Styrene Yield by Paulo Jardel P. Araújo, Manuela Souza Leite, Teresa M. Kakuta Ravagnani

“…A mathematical model was developed, incorporating the various mass transport mechanisms found in each of the membrane layers and in the catalytic fixed bed. …”
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The Rocca Malatestiana of Verucchio. SCAN to HBIM process for the digitisation of cultural site with severe topography condition by Luca Rossato, Fabio Planu, Greta Montanari

“…<br />The integrated scanning and HBIM implementation process has resulted in a coherent and highly informative digital model of the material, historical and typological conformation of the various parts of the artefact. …”
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Modelling of 3D concrete printing based on SPH method with the Herschel–Bulkley-Papanastasiou rheology model by Yang Wang, Liu-chao Qiu, Song-gui Chen, Yi Liu, Shuo Li

“…Furthermore, by utilising process parameters furnished by simulation cases, it is possible to determine the critical conditions under which filaments printed by different nozzle shapes are vulnerable to tearing, and the corresponding critical intervals when tearing occurs are also defined. 3DPC experiments verify these findings and confirm that SPH simulation provides additional information on the geometric characteristics of single-layer structures, as well as physical quantities that cannot be straightforwardly measured.…”
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Evaluation of the Genericity of an Adaptive Optimal Control Approach to Optimize Membrane Filtration Systems by Aymen Chaaben, Fatma Ellouze, Nihel Ben Amar, Alain Rapaport, Marc Heran, Jérôme Harmand

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Retinal Vessel Diameter Reductions Are Associated with Retinal Ganglion Cell Dysfunction, Thinning of the Ganglion Cell and Inner Plexiform Layers, and Decreased Visual Field Globa... by Andrew Tirsi, Nicholas Leung, Rohun Gupta, Sungmin Hong, Derek Orshan, Joby Tsai, Corey Ross Lacher, Isabella Tello, Samuel Potash, Timothy Foster, Rushil Kumbhani, Celso Tello

“…<b>Background/Objectives</b>: The aim of this study was to evaluate the associations between optical coherence tomography angiography (OCTA)-based retinal vessel diameter (RVD) measurements, with retinal ganglion cell (RGC) function assessed by means of steady-state pattern electroretinography (ssPERG) using ganglion cell layer-inner plexiform layer thickness (GCL-IPLT) measurements and with Humphrey field analyzer (HFA) global indices in glaucoma suspects (GSs). …”
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Optimization of Oil Yield from the Macro Algae Spirogyra by Solvent Extraction Process Using RSM and ANN by S. Aravind, Debabrata Barik, Nagaraj Ashok

“…The coefficient of determination, R2 of 98.92%, and the mean absolute percentage deviation (MAPD) of 0.492% for ANN revealed that the current model created with a network topology of 3 : 11 : 1 with tansig (hyperbolic tangent sigmoid) transfer function in the input layer and purelin (pure linear) transfer function in the output layer trained with trainlm (Levenberg–Marquardt) algorithm found to provide the optimal solution with better accuracy in prediction of the output. …”
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Exploring Downscaling in High-Dimensional Lorenz Models Using the Transformer Decoder by Bo-Wen Shen

“…The FFNN and transformer-based models add complexity, incorporating multiple hidden layers and self-attention mechanisms, respectively, to enhance prediction accuracy. …”
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