Design of novel graded bone scaffolds based on triply periodic minimal surfaces with multi-functional pores by Rongwu Lai, Rongwu Lai, Jian Jiang, Jian Jiang, Yi Huo, Hao Wang, Sergei Bosiakov, Yongtao Lyu, Yongtao Lyu, Lei Li

“…The performance of these scaffolds was evaluated using finite element (FE) analysis and computational fluid dynamics (CFD) method.ResultsThe results from FE analysis indicated that the novel scaffold exhibited a lower elastic modulus, potentially mitigating the issue of stress shielding. …”
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Multi-Class Classification Methods for EEG Signals of Lower-Limb Rehabilitation Movements by Shuangling Ma, Zijie Situ, Xiaobo Peng, Zhangyang Li, Ying Huang

“…Brain–Computer Interfaces (BCIs) enable direct communication between the brain and external devices by decoding motor intentions from EEG signals. …”
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Sequencing validates deep learning models for EHR-based detection of Noonan syndrome in pediatric patients by Zeyu Yang, Amy Shikany, Ammar Husami, Xinjian Wang, Eneida Mendonca, K. Nicole Weaver, Jing Chen

“…Abstract Despite advanced diagnostic tools, early detection of rare genetic conditions like Noonan syndrome (NS) remains challenging. We evaluated a deep learning model’s real-world performance in identifying potential NS cases using electronic health record (EHR) data, validated through genetic sequencing and clinical assessment. …”
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Development of passive film and enhancement of corrosion protection of mild steel in hydrochloric acid through the synergistic interaction of 2-amino-4-methyl benzothiazole (AMBT)... by K.M. Shainy, P. Rugmini Ammal, Abraham Joseph

“…Corrosion inhibition efficiency and the reaction kinetics of synergistic pair were evaluated by electrochemical impedance spectroscopy (EIS), potentiodynamic polarization and weight loss measurements. …”
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Suppressing pre-hydrolysis in TiO2 manufacturing: Design optimization of an indirect heating hydrolysis system by Han Junhee, Kim Hyojung, Lee Dohyung

“…For designing an indirect heating system, multiphase Computational Fluid Dynamics (CFD) simulations were performed. …”
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Portable Homemade Magnetic Hyperthermia Apparatus: Preliminary Results by Teresa Castelo-Grande, Paulo A. Augusto, Lobinho Gomes, Eduardo Calvo, Domingos Barbosa

“…This study aims to describe and evaluate the performance of a new device for magnetic hyperthermia that can produce an alternating magnetic field with adjustable frequency without the need to change capacitors from the resonant bank, as required by other commercial devices. …”
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Application of Neural Network for DC Motor using Controlled Three Phase Converter Drive in Simscape Electrical by Isha Khan, Samandar Khan Afridi, Aslam Pervez Memon, Khalid Hussain, Farooque Khan

“…The study proposes a comparative analysis of controllers such as PID and ANN-based under-motor speed control systems, for detailed data acquisition over diversified operating conditions to evaluate their usefulness. To address the limitations of being able to implement ANNs in real-time, such as complexity in computation and training time, we conducted this study by improving our architecture along with more efficient learning methods by tuning or customizing them over different hyper-parameters. …”
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Automated sleep staging from single-channel electroencephalogram using hybrid neural network with manual features and attention by Qingyun Wan, Yuyang Bo, Ying Zhang, Mufeng Li, Xiaoqiu Wang, Chuang Chen, Lanying Liu, Wenzhong Wu

“…Summary: Sleep staging is essential for evaluating sleep quality, diagnosing disorders, and creating personalized treatment plans. …”
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Machine learning technique for the identification of two-phase (oil-water) flow patterns through pipelines by Daniel Yesid Uribe-Tarazona, Carlos Mauricio Ruiz-Diaz, Octavio Andrés González-Estrada

“…The model demonstrated rapid convergence with a training time of only 2 s, making it a reliable and computationally efficient tool for flow pattern recognition. …”
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Calibration and surrogate model-based sensitivity analysis of crystal plasticity finite element models by Hugh Dorward, David M. Knowles, Eralp Demir, Mahmoud Mostafavi, Matthew J. Peel

“…This study presents a structured framework for the global sensitivity analysis of the effect of crystal plasticity parameters on model outputs. Due to the computational cost of evaluating crystal plasticity models multiple times within a finite element framework, a Gaussian process regression surrogate was constructed and used to conduct the sensitivity analysis. …”
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Underground Space and Climate Synergy Wind–Heat Environmental Response in Cold Zones by Lufeng Nie, Heng Liu, Jiuxin Wang, Shuai Tong, Xiang Ji

“…Six representative spatial prototypes—fully enclosed, single-side open, double-side open, central atrium, wind tower, and earth kiln—were constructed based on common underground design typologies. Computational fluid dynamics (CFD) simulations were conducted to evaluate airflow patterns and thermal responses under winter and summer conditions, incorporating relevant geotechnical properties into the boundary setup. …”
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Performance Improvement of Axial Compressors and Fans with Plasma Actuation by Sebastien Lemire, Huu Duc Vo, Michael W. Benner

“…The concept presented in this paper consists in the positioning of a plasma actuator near the separation point on a compressor rotor suction side to increase flow turning. In this computational study, three parameters have been studied to evaluate the effectiveness of plasma actuator: actuator strength, position and actuation method (steady versus unsteady). …”
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UAV Target Segmentation Based on Depse Unet++ Modeling by Zhaoqi Hou, Yiqing Gu, Zhen Zheng, Yueqiang Li, Haojie Li

“…Evaluations were conducted using a custom-built dataset to test the model’s segmentation accuracy and performance. …”
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Performance Predictions of Solar-Assisted Heat Pumps: Methodological Approach and Comparison Between Various Artificial Intelligence Methods by Minghui Ma, Oguzhan Pektezel, Vincenzo Ballerini, Paolo Valdiserri, Eugenia Rossi di Schio

“…The coefficient of performance (COP) is a crucial metric for evaluating the efficiency of heat pump systems. Real-time monitoring of heat pump system performance necessitates continuously collecting and processing data from various components utilizing multiple sensors and controllers. …”
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Investigation of the Effect of Upstream Slope and Bed Material on the Rate of Pollutant Release to Downstream Dams Using a Two-Phase SPH algorithm by Rahim Shamsoddini, Bahador Abolpour, Yi Zhao

“…After validating the computational code, nine different cases are modeled and evaluated based on the bed material and the slope of the bed. …”
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Passive Synthetic Aperture for Direction-of-Arrival Estimation Using an Underwater Glider with a Single Hydrophone by Yueming Ma, Jie Sun, Shuo Li, Tianze Hu, Shilong Li, Yuexing Zhang

“…The performance of DOA estimation prior to and following UG trajectory correction was compared to evaluate the impact of ocean currents on target DOA estimation accuracy.…”
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Learnable Wireless Digital Twins: Reconstructing Electromagnetic Field With Neural Representations by Shuaifeng Jiang, Qi Qu, Xiaqing Pan, Abhishek K. Agrawal, Richard Newcombe, Ahmed Alkhateeb

“…To showcase the efficacy of the proposed learnable digital twin framework, we evaluate the digital twin by predicting wireless channels based on users’ positions. …”
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CT Appearance of Hepatocellular Carcinoma after Locoregional Treatments: A Comprehensive Review by Daniel Marin, Salvatore Cappabianca, Nicola Serra, Assunta Sica, Francesco Lassandro, Roberto D’Angelo, Michelearcangelo La Porta, Francesco Fiore, Francesco Somma

“…On this basis, many staging and diagnostic systems have been proposed for evaluating response to all different existing strategies. …”
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Optimised block bootstrap: an efficient variant of circular block bootstrap method with application to South African economic time series data by James Daniel, Kayode Ayinde, Adewale F. Lukman, Olayan Albalawi, Jeza Allohibi, Abdulmajeed Atiah Alharbi

“…OBB minimized block overlap, resulting in greater computational efficiency while preserving the temporal structure of data. …”
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Deep Learning Approaches for Automated Prediction of Treatment Response in Non-Small-Cell Lung Cancer Patients Based on CT and PET Imaging by Randy Guzmán Gómez, Guadalupe Lopez Lopez, Victor M. Alvarado, Froylan Lopez Lopez, Eréndira Esqueda Cisneros, Hazel López Moreno

“…We highlight the challenges and opportunities for feasible integration of deep learning computer-based tools in evaluating treatments in lung cancer patients, after which CT and PET-based strategies are contrasted. …”
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