Artificial intelligence models for predicting the performance of proton exchange membrane water electrolyzers under steady and dynamic power by Thomas Waite, Alireza Sadeghi, Mohammad Yazdani-Asrami

“…This paper evaluated the ability of a range of AI techniques to model PEMWE performance degradation under steady-state and dynamic operation. …”
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Fractal Geometry: Surface Characterization of Printing Paper by Yong Ju Lee, Geon-Woo Kim, Tai-Ju Lee, Hyoung Jin Kim

“…Furthermore, FD exhibited weak correlations with surface roughness and friction, with R² values of 0.342 and 0.016, respectively, highlighting its unique ability to characterize autocorrelation or complexity of surface. …”
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Explaining the Unexplained: Examining the Predictive Value of Semen Parameters, Sperm DNA Fragmentation and Metal Levels in Unexplained Infertility by Navdeep Kaur Ghuman, Kamla Kant Shukla, Srividhya Nandagopal, Sunil Raikar, Shailendra Kumar, Priyanka Kathuria, Dinesh Choudhary, Poonam Elhence, Pratibha Singh

“…Zinc concentration in the semen had a strong positive correlation (Point Biserial correlation coefficient = 0.831) with fertility, whereas lead and aluminium had a moderate negative correlation. …”
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Correlation of Optical Constants and Morphologies with Mueller Matrix for Micro-Rough Surfaces by Meijiao Huang, Fengyi Jiang

“…This research signifies a key step toward the ability to invert the morphological parameters or optical constants of micro-rough surfaces through a Mueller matrix.…”
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Short physical performance battery: Pilot study of a human motion capture app (MobiSPPB) by Lucas Küppers, Richard Pfannenstiel, Arezoo Bozorgmehr, Stephan Jonas, Birgitta Weltermann, Lara Marie Reimer

“…Spearman's correlations, the intraclass correlation coefficient (ICC), and receiver operating characteristic curves were calculated. …”
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Artificial Intelligence Algorithm to Screen for Diabetic Neuropathy: A Pilot Study by Giovanni Sartore, Eugenio Ragazzi, Francesco Pegoraro, Mario German Pagno, Annunziata Lapolla, Francesco Piarulli

“…The purpose of the present study was to assess the ability of a new algorithm based on artificial intelligence (AI) to identify patients with T2D who are at risk of DPN in order to move on to further instrumental evaluation with the biothesiometer method. …”
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Monitoring of CO2 Absorption Solvent in Natural Gas Process Using Fourier Transform Near-Infrared Spectrometry by Mohd Yusop Nurida, Dolmat Norfadilah, Mohd Rozaiddin Siti Aishah, Chan Zhe Phak, Syafiqa M. Saleh

“…The calibration model developed for amine determination had the highest coefficient of determination (R2) of 0.9955 and RMSECV of 0.75%. …”
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Variational quantum circuit-based quantum machine learning approach for predicting corrosion inhibition efficiency of pyridine-quinoline compounds by Muhamad Akrom, Supriadi Rustad, Hermawan Kresno Dipojono

“…It generates remarkably high CIE values of 92.87, 94.05, 94.96, and 96.93 for P1, P2, P3, and P4, respectively. With its ability to streamline the testing and production processes for novel anti-corrosion materials, this innovative approach holds the potential to revolutionize the market.…”
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Machine Learning Prediction of Mechanical Properties for Marine Coral Sand–Clay Mixtures Based on Triaxial Shear Testing by Bowen Yang, Kaiwei Xu, Zejin Wang, Haodong Sun, Peng Cui, Zhiming Chao

“…Among these models, the LDA-SVM model exhibited the best performance, achieving a test RMSE of 1.67245 and a correlation coefficient (R) of 0.996, demonstrating superior prediction accuracy and strong generalization ability. …”
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Regional differences and dynamic evolution in the resilience of public-private partnership projects: Evidence from the China by Jiangtao Chi, Yi Huang, Xin Li, Jiaying Li, Zihan Xia, Feiwu Ren, Xiangyun Xu, Jinbo Song, Yanwei Wang

“…In the context of high-quality development and in the face of uncertainties and risks from economic, social and political sources, we aim to understand the resilience of public-private partnership projects in megaprojects, and to improve their ability to effectively manage adversity and optimize resource allocation. …”
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Explainable machine learning framework for cataracts recognition using visual features by Xiao Wu, Lingxi Hu, Zunjie Xiao, Xiaoqing Zhang, Risa Higashita, Jiang Liu

“…Subsequently, the SHapley Additive exPlanations and Pearson correlation coefficient methods are applied to analyze the feature importance and select significant visual features. …”
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Drilling Rate of Penetration Prediction Based on CBT-LSTM Neural Network by Kai Bai, Siyi Jin, Zhaoshuo Zhang, Shengsheng Dai

“…Initially, data are denoised using the Savitzky–Golay filter, and five correlation coefficient methods are employed to select input features, with principal component analysis (PCA) used to reduce model complexity. …”
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Selecting Observationally Constrained Global Climate Model Ensembles Using Autoencoders and Transfer Learning by Chibuike Chiedozie Ibebuchi, Oluwaferanmi Akinyemi, Itohan‐Osa Abu

“…Transfer learning was employed to adapt the pre‐trained AE, from ERA5 to the GCM outputs, enabling a direct and robust evaluation of each model’s ability to produce the observationally constrained SLP modes. …”
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Evaluating the Development, Reliability, and Validation of the Tele-Primary Care Oral Health Clinical Information System Questionnaire: Cross-Sectional Questionnaire Study by Rosnah Sutan, Shahida Ismail, Roszita Ibrahim

“… BackgroundEvaluating digital health service delivery in primary health care requires a validated questionnaire to comprehensively assess users’ ability to implement tasks customized to the program’s needs. …”
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The Impact of Pterional Craniotomy on Dental Occlusion by Adrian Rogala, Grażyna Brzuszkiewicz-Kuźmicka, Grzegorz Turek, Maciej Jakubowski, Wojciech Górecki, Mirosław Ząbek

“…Introduction: The masticatory system has the remarkable ability to adapt to a changing biomechanical environment. …”
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New Structure for Strengthening Soil Embankments by Fang Xu, Wuming Leng, Rusong Nie, Qishu Zhang, Qi Yang

“…The results show that PRDs can effectively improve the soil shear strength, bearing capacity, ability to resist elastic and plastic deformation, critical dynamic stress, and dynamic shear modulus, and empirical methods were also developed to determine the critical dynamic stress and initial dynamic shear modulus of the embankment soil. …”
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Meteorological Drivers and Agricultural Drought Diagnosis Based on Surface Information and Precipitation from Satellite Observations in Nusa Tenggara Islands, Indonesia by Gede Dedy Krisnawan, Yi-Ling Chang, Fuan Tsai, Kuo-Hsin Tseng, Tang-Huang Lin

“…Furthermore, our monthly and 8-day TVDI estimation models could capture spatial drought patterns consistent with MODIS, with coefficient of determination (R²) values of more than 0.64. …”
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The physical therapy efficacy index and chart: a stimulus for value-based healthcare using real-world data by Henri Kiers, Richard A.W. Felius, Martijn W. Heijmans, Arie C. Verburg

“…Variation attributed to practices was quantified by an intraclass correlation coefficient. Separate linear mixed models and a radar plot (PE-Graph) visualized individual PE-Index components. …”
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Advancing Forex prediction through multimodal text-driven model and attention mechanisms by Fatima Dakalbab, Ayush Kumar, Manar Abu Talib, Qassim Nasir

“…Traditional approaches often rely on either technical indicators or sentiment analysis, limiting their ability to capture the interplay between diverse data modalities. …”
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The Italian Version of the Five-Word Test: A Simple Diagnostic Test for Dementia due to Alzheimer’s Disease in Routine Clinical Practice by Luca Rozzini, Anna Ceraso, Marina Zanetti, Silvia Pelizzari, Evita Tomasoni, Vivian Accardo, Alessandro Padovani

“…The study aimed to validate the test for the Italian language and to verify its ability to discriminate patients affected by mild cognitive impairment and dementia due to Alzheimer’s disease from healthy matches. …”
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