Comparisons of Faulting-Based Pavement Performance Prediction Models by Weina Wang, Yu Qin, Xiaofei Li, Di Wang, Huiqiang Chen

“…MC model seems a good tool for pavement performance prediction when the data is limited, but it is based on visual inspections and not explicitly related to quantitative physical parameters. …”
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OGC API: Ldproxy, an Updated and Contemporary Approach to Geodata Provision in Disaster Mapping by L. F. P. Sulaeman, F.-J. Behr

“…However, the abundance of Geospatial data requires a better performance of the webGIS. Ldproxy as a tool that follows OGC API standards could be an alternative to traditional tools such as Geoserver. …”
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Non-convex optimization with using positive-negative moment estimation and its application for skin cancer recognition with a neural network by P.A. Lyakhov, U.A. Lyakhova, R.I. Abdulkadirov

“…The main problem of using standard optimization methods is the need to change all parameters in same-size steps, regardless of the behavior of the gradient. …”
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The percentage of Body Fat and its Relationship with Blood Pressure in Adults from Rural and Urban Areas by Carlos Enrique García Yerena, Omar Oliveros Rangel, Brian Johan Bustos Viviescas, Amalia Villamizar Navarro, John Alexander García Galviz

“…Body mass was evaluated, with the use of the tool called electrical impedance and the OMRON HBF-514C brand equipment, and blood pressure and the OMRON HEM-4030 digital blood pressure monitor was used. …”
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Real-Time Monitoring of Cardiac Output Using Non-Invasive Impedance Cardiography in Dogs: A Pilot Study on Heartworm Extraction and Gastric Decompression by Daesik Kim, Seol-Gi Park, Min Su Kim

“…Non-invasive monitoring effectively captured cardiovascular changes, suggesting its utility as an adjunctive tool in clinical assessment.…”
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Weiss or Wit: Chemical Profiling of Wheat Beers via NMR-Based Metabolomics by Plamen Chorbadzhiev, Dessislava Gerginova, Svetlana Simova

“…Furthermore, this study highlights the potential of NMR spectroscopy as a powerful tool for beer authentication and quality control.…”
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An Introduction of a Robust OMA Method: CoS-SSI and Its Performance Evaluation through the Simulation and a Case Study by Fulong Liu, Jigang Wu, Fengshou Gu, Andrew D. Ball

“…Operational modal analysis (OMA) is a powerful vibration analysis tool and widely used for structural health monitoring (SHM) of various system systems such as vehicles and civil structures. …”
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Effects of botulinum toxin type A on the masseter muscles of a patient with a temporomandibular joint disorder of muscular origin: A case report by Mohammad Nasoh Alzaeem, Bassel Brad, Ibrahim Haddad, Mohammad Y. Hajeer

“…Based on this case report, there was a clear improvement in the studied parameters, with a significant decrease in the electromagnetic activity of the injected muscles as shown by EMG; thus, BTX/A can be considered an effective treatment to relieve symptoms and improve the quality of life in patients with TMDs of muscular origin, relying on EMG as an effective diagnostic tool and for subsequent evaluation of treatment results.…”
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French translation, cultural adaptation and validation of the BDDQ-AS for rhinoplasty patients by Daniel Milad, Marie-Renée Atallah, Youcef-Hamza Benamer, Mikhail Saltychev, Sam P. Most, Sami P. Moubayed

“…Abstract The Body Dysmorphic Disorder Questionnaire-Aesthetic Surgery (BDDQ-AS) is a validated questionnaire that is used as a screening tool for body dysmorphic disorder (BDD) in aesthetic rhinoplasty patients. …”
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Fast forward modeling and response analysis of extra-deep azimuthal resistivity measurements in complex model by Pan Zhang, Shaogui Deng, Xiyong Yuan, Fen Liu, Weibiao Xie

“…The Extra-Deep Azimuthal Resistivity Measurements (EDARM) tool, as an emerging technology, can effectively identify geological interfaces within a range of several tens of meters around the borehole, providing geological structures for directional drilling, and effectively improving reservoir encounter rates and enhancing oil and gas recovery rates. …”
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A Dual Filter Based on Radial Basis Function Neural Networks and Kalman Filters with Application to Numerical Wave Prediction Models by Athanasios Donas, Ioannis Kordatos, Alex Alexandridis, George Galanis, Ioannis Th. Famelis

“…The results reveal a consistent performance, outperforming classic Kalman filters with an average reduction of 53% in bias and 28% in RMSE, underlining the dual filter’s potential as a robust post-processing tool for environmental simulations.…”
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Use of machine learning techniques for modeling of snow depth by G. V. Ayzel

“…The purposeful character of learning process for models of the gradient boosting type, their ensemble character, and use of combined redundancy of a test sample in learning procedure makes this type of models a good and sustainable research tool. The results obtained can be used for estimating the snow cover characteristics for river basins where hydro-meteorological information is absent or insufficient.…”
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Noninvasive Assessment of Nonalcoholic Fatty Liver Disease in Children with Overweight and Obesity by Transient Elastography by Mohamed Fajrudheen, Samarendra Mahapatro, Manas K. Panigrahi, Suprava Naik, Amit K. Satapathy

“…TE proves to be a valuable tool in identifying fibrotic and steatotic changes in these children, complementing existing noninvasive modalities.…”
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A Novel MetaSoft Tree-Cognitive Set Model for Evaluating Criminal Litigation Efficiency under Artificial Intelligence Ecosystems by Yuanyuan Meng, Jing Cai

“…Artificial Intelligence (AI) is transforming judicial systems by offering tools that enhance legal decision-making, yet measuring the efficiency of criminal litigation processes within these evolving digital ecosystems remains a complex task. …”
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Assessing the effect of model specification and prior sensitivity on Bayesian tests of temporal signal. by John H Tay, Arthur Kocher, Sebastian Duchene

“…Our understanding of the evolution of many microbes has been revolutionised by the molecular clock, a statistical tool to infer evolutionary rates and timescales from analyses of biomolecular sequences. …”
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Role of transient elastography in pediatric patients with portal hypertension: A cross-sectional, single-center study by Suchismita Dutta, Amit Kumar, Shambhavi Sharan, Umakant Prasad, Jayant Prakash

“…Conclusion: Transient elastography values correlate with clinical features, etiology, and biochemical parameters and can be used as a noninvasive diagnostic tool in pediatric portal hypertension patients.…”
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A morpho-density approach to estimating neural connectivity. by Michael P McAssey, Fetsje Bijma, Bernadetta Tarigan, Jaap van Pelt, Arjen van Ooyen, Mathisca de Gunst

“…In summary, MDFs are a powerful tool for visualizing the spatial distribution of axonal and dendritic densities, for estimating the number of potential synapses between neurons with low standard deviation, and for obtaining a greater understanding of the relationship between neural morphology and network connectivity.…”
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RBF-FDTD Analysis of Lightning-Induced Voltages on Multi-Conductor Distribution Lines by Duc-Quang Vu, Nhat-Nam Nguyen, Phan-Tu Vu

“…The simulation and computational results are in good agreement with findings from prior studies, underscoring the potential of the RBF-FDTD method as a robust tool of practical implications.…”
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A Comparative Study on the Carbonization of Chitin and Chitosan: Thermo-Kinetics, Thermodynamics and Artificial Neural Network Modeling by Melis Alpaslan Takan, Gamzenur Özsin

“…The results underscore the adaptability and effectiveness of ANN in analyzing the carbonization of biological macromolecules, establishing it as a reliable tool for thermochemical conversion studies.…”
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Enhanced LSTM-based AI model for accurate dissolved oxygen prediction in aquaculture systems by Ala Saleh Alluhaidan, Prabu P, Romana Aziz, Shakila Basheer

“…The model’s superior accuracy and adaptability make it a reliable tool for aquaculture management, helping to optimize DO levels and reduce the risk of fish mortality. …”
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