Elimination of nickel ions in a packed column using clamshell waste as an adsorbent by S. Baskar, K. R. Aswin Sidhaarth, L. Mangaleshwaran, Sivarama Krishna Lakkaboyana, Herri Trilaksana, Reddi Mohan Naidu Kalla, Jaewoong Lee, Leonard I. Atanase, Mohsin Kazi, Seepana Praveenkumar

“…The validity of the Thomas model for predicting column dynamics was established, and the associated model parameters were assessed. …”
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Aerodynamic Comparison of Conventional and Bioinspired Turbines for Enhanced Wind Energy Applications in Low Wind Conditions by Quesada-Bedoya Luis Felipe, Lebrun-Llano David, Espitia-Mesa Gabriel, Tamayo-Avendaño Jorge Mario, Osorio-Gómez Gilberto

“…The proposed methodology involves using Computational Fluid Dynamics (CFD) simulations and Blade Element Momentum Theory (BEMT) to predict the behavior of both designs. Variables such as power coefficients (Cp), thrust (Ct), axial force, and torque are evaluated, comparing the performance of the rotors under identical conditions. …”
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Neural correlates of vicarious reward processing and peer victimization experiences in late childhood by Simone Dobbelaar, Sanne Kellij, René Veenstra, Berna Güroğlu

“…Results revealed ventral striatum activation when winning (versus losing) for oneself, and activation in the dmPFC, vmPFC and precuneus when playing for excluders rather than for oneself. Victimization predicted decreased ventral striatum activation during personal rewards, and increased activation in the dorsomedial prefrontal cortex when playing for excluders rather than for oneself. …”
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Mapping Groundwater Vulnerability in Arid Regions: A Comparative Risk Assessment Using Modified DRASTIC Models, Land Use, and Climate Change Factors by Simone A. Williams, Sharon B. Megdal, Adriana A. Zuniga-Teran, David M. Quanrud, Gary Christopherson

“…Modifications to the traditional DRASTIC model, including the integration of land use and climate factors and the application of AHP (Analytic Hierarchy Process) to refine variable weighting, significantly enhanced predictive accuracy. Results demonstrate that models incorporating land use and climate data outperform the traditional approach. …”
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Fabrication of PES/PVP Water Filtration Membranes Using Cyrene®, a Safer Bio-Based Polar Aprotic Solvent by Roxana A. Milescu, C. Robert McElroy, Thomas J. Farmer, Paul M. Williams, Matthew J. Walters, James H. Clark

“…Hansen Solubility Parameters in Practice (HSPiP) was used to predict polymer-solvent interactions. The use of Cyrene® resulted in reduced polyvinylpyrrolidone (PVP) loading than required when using NMP and gave materials with larger pores and overall porosity. …”
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Climate and soil factors drive the functional and phylogenetic assembly of Qinghai-Tibetan grassland communities via multiple paths by Xiaomei Kang, Yanjun Liu, Xinyang Wu, Lijie Duan, Jiachang Jiang, Aoran Zhang, Wei Qi

“…These findings have the potential to improve our predictions of climate change impacts on plant community assembly.…”
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Modeling, evaluation and metrics performance of the SyncLMKD in distributed kinematics variations by Fabiano Stingelin Cardoso, Tacildo de Souza Araújo, Ronnier Frates Rohrich, André Schneider de Oliveira

“…The main advantage of the SyncLMKD is its high precision in displacement measurement and predictability of distances between counterparts and the dynamic target of the Digital Twin, all while requiring low computational effort. …”
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Artificial intelligence in healthcare: transforming patient safety with intelligent systems—A systematic review by Francesco De Micco, Francesco De Micco, Gianmarco Di Palma, Gianmarco Di Palma, Davide Ferorelli, Anna De Benedictis, Anna De Benedictis, Luca Tomassini, Vittoradolfo Tambone, Mariano Cingolani, Roberto Scendoni, Roberto Scendoni

“…We utilized the online tool Rayyan for efficient screening and selection of relevant studies from three different online bibliographic.ResultsAI systems, including machine learning and natural language processing, show promise in detecting adverse events, predicting medication errors, assessing fall risks, and preventing pressure injuries. …”
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Diagenesis and Fluid Flow Variability of Structural Heterogeneity Units in Tight Sandstone Carrier Beds of Dibei, Eastern Kuqa Depression by H. Shi, X. R. Luo, G. L. Lei, L. Q. Zhang, L. K. Zhang, Y. H. Lei

“…It has significance for predicting sweet spots to recognize the characteristics and forming of heterogeneity in tight sandstone carrier beds. …”
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Combustion Rate of Solid Carbon in the Axisymmetric Stagnation Flowfield Established over a Sphere and/or a Flat Plate by Atsushi Makino, Masahiro Hojo, Masahito Shintomi

“…It has been confirmed that before the establishment of CO flame, the combustion rate can fairly be represented by the expression in the frozen mode, that after its establishment by the expression in the flame-attached or flame-detached modes, and that the critical condition derived by the asymptotics can fairly predict the surface temperature for its establishment. …”
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Prodromal Parkinson’s disease and subsequent risk of Parkinson’s disease and mortality by Xiao Chen, Yaqi Li, Yun Shen, Michael A. Schwarzschild, Xiang Gao

“…Multivariable-adjusted HRs3+vs.0 prodromal PD features and 95%CIs were 3.12 (2.58–3.78) for men and 2.71 (2.11–3.47) for women. Prodromal PD predicted only PD onset occurred during the first 6 years of follow-up (HR3+vs.0 prodromal features = 10.5; 95% CI: 8.60–12.9), but not after 6 years (HR = 1.00; 95%CI: 0.76-1.32). …”
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Part A: Innovative Data Augmentation Approach to Enhance Machine Learning Efficiency—Case Study for Hydrodynamic Purposes by Hamed Majidiyan, Hossein Enshaei, Damon Howe, Eric Gubesch

“…Hydrodynamic models, vital for predicting ship responses and estimating sea states, rely on diverse data sources of varying fidelities. …”
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Large Eddy Simulation of a Turbulent Spray Jet Flame Using Filtered Tabulated Chemistry by Adrien Chatelier, Benoît Fiorina, Vincent Moureau, Nicolas Bertier

“…More interesting, the LES predicts accurately the flame lift-off height for both fine and coarse grid conditions. …”
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SURVEY AND PROPOSED METHOD TO DETECT ADVERSARIAL EXAMPLES USING AN ADVERSARIAL RETRAINING MODEL by Thanh Son Phan, Quang Hua Ta, Duy Trung Pham, Phi Ho Truong

“…One common and dangerous attack method is adversarial attack, where modified input images can cause misclassification or erroneous predictions by the models. To confront that challenge, we present a novel approach called adversarial retraining that uses adversarial examples to train machine learning and deep learning models. …”
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Modelling pacemaker oscillations in lymphatic muscle cells: lengthened action potentials by two distinct system effects by Edward J. Hancock, Charlie Macaskill, Scott D. Zawieja, Michael J. Davis, Christopher D. Bertram

“…The second case occurs with the introduction of a ryanodine receptor; in both cases, we find improved predictions for calcium levels. With enhanced fidelity to the experimental data, the improved model has the potential to help determine opportunities for pharmacological treatment of lymphatic system pumping defects.…”
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Decolorisation of Reactive Red 120 Dye by Using Single-Walled Carbon Nanotubes in Aqueous Solutions by Edris Bazrafshan, Ferdos Kord Mostafapour, Ali Reza Hosseini, Ataolah Raksh Khorshid, Amir Hossein Mahvi

“…The optimum pH for removing of RR-120 dye from aqueous solutions was found to be 5 and for this condition maximum predicted adsorption capacity for RR-120 dye was obtained as 426.49 mg/g. …”
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Sidewall Roughness Measurement and Bearing Performance Simulation of Rock-Socketed Piles Based on Laser Scanning Point Cloud by Junbao Zhang, Yule Hu, Yiteng Wang, Di Zhang

“…The simulations, using the actual piles tested, produced a more realistic load response and were able to predict the load-bearing performance of the piles more accurately. …”
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Teacher professional learning communities and children’s school readiness in China: the moderating role of supportive conditions and cooperative atmosphere by Jie Ren, Jie Ren, Yunjuan Mo, Yulong Zhang, Yuna Hou

“…Subsequently, a series of mean difference tests and multiple linear regression analysis were used to test the relationship between teacher PLCs and children’s school readniess.ResultsThe results indicated that the three dimensions of teacher PLCs, including shared vision, collaborative practice, and resource sharing, significantly and positively predicted children’s school readiness. Chinese teachers scored highest in the dimension of shared vision, followed by collaborative practice, and lowest in resource sharing. …”
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YOLOSeg with applications to wafer die particle defect segmentation by Yen-Ting Li, Yu-Cheng Chan, Chen-Che Huang, Yu-Chang Hsu, Ssu-Han Chen

“…YOLOSeg uses YOLOv5s as the basis and extends a UNet-like structure to form the segmentation head. YOLOSeg can predict not only bounding boxes of particle defects but also the corresponding bounding polygons. …”
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Meaningful Multimodal Emotion Recognition Based on Capsule Graph Transformer Architecture by Hajar Filali, Chafik Boulealam, Khalid El Fazazy, Adnane Mohamed Mahraz, Hamid Tairi, Jamal Riffi

“…Despite the effectiveness of MNN, we have used it as a methodological innovation that will be fed with the previously generated vector parameters to produce better predictive results. Our suggested approach for more accurate multimodal emotion recognition has been shown through extensive examinations, producing state-of-the-art results with accuracies of 69% and 56% on two public datasets, MELD and MOSEI, respectively.…”
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