Evaluation and modeling of traffic noise in an urban area of Chhattisgarh, India by Vishal Kumar, Ajay Vikram Ahirwar, A. D. Prasad

“… Introduction: Traffic noise modeling is a rapidly growing field. Researchers are continually improving existing models and creating new ones that take into consideration complex aspects such as traffic flow patterns and the influence of geography. …”
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Test-retest and intrasession reliability of assisted sprint outcome measurements using a motorized resistance device by Ola Eriksrud, Frederic Westheim

“…In conclusion, the present study shows that the MRD can obtain reliable assisted sprint outcome measurements and thereby provide coaches and researchers with new opportunities to advance, monitor and evaluate sprint training.…”
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The Duty to Prosecute Human Rigths Violations before the Supreme Court of Mexico by Javier Dondé Matute

“… * Nota: Debido que la traducción es automática podrá ser inexacta o contener errores. …”
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PEMETAAN PENGGUNAAN LAHAN SAWAH BERDASARKAN PENDEKATAN EKOLOGI BENTANG LAHANMENGGUNAKAN CITRA PEREKAMAN TUNGGAL by Algi Variski Hasibuan, Projo Danoedoro, Sigit Heru Murti

“…While multitemporal data has been widely used by researchers and proven effective, using single-date imagery can be more efficient. …”
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Radar Sensor Data Fitting for Accurate Linear Sprint Modelling by Daniel Geneau, Patrick Cormier, Ming-Chang Tsai, Dana Agar-Newman, Seth Lenetsky, Marc Klimstra

“…This study evaluated five different modelling approaches, including three established methods, a third-degree polynomial, and a sigmoid function, assessing their goodness-of-fit through the root mean square error (RMSE) and coefficient of determination (r²). …”
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Metric-based defect prediction from class diagram by Batnyam Battulga, Lkhamrolom Tsoodol, Enkhzol Dovdon, Naranchimeg Bold, Oyun-Erdene Namsrai

“…Meanwhile, software metrics provide a quantifiable way to analyze the software, making it easier to identify defects. Many researchers have leveraged these metrics to predict defects using ML and DL methods, achieving state-of-the-art performance. …”
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Kolmogorov–Arnold Network in the Fault Diagnosis of Oil-Immersed Power Transformers by Thales W. Cabral, Felippe V. Gomes, Eduardo R. de Lima, José C. S. S. Filho, Luís G. P. Meloni

“…Instabilities in energy supply caused by equipment failures, particularly in power transformers, can significantly impact efficiency and lead to shutdowns, which can affect the population. To address this, researchers have developed fault diagnosis strategies for oil-immersed power transformers using dissolved gas analysis (DGA) to enhance reliability and environmental responsibility. …”
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Emerging strontium isoscapes of Anatolia (Türkiye): new datasets and perspectives in bioavailable 87Sr/86Sr baseline studies by G. Bike Yazıcıoğlu, David C. Meiggs, Maxwell Davis, Suzanne E. Pilaar Birch, Suzanne E. Pilaar Birch

“…In closing, we comment on beneficial avenues for mobility studies in under-researched periods and regions in Anatolia.…”
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Investigating the Effectiveness of Coal-Fired Power Plant Operations: Management, Technical and Air Pollution Aspects by Zamzam T. A. Ramly, Mohd Y. Ishak, Ahmad M. Abdullah, Marzuki Ismail, Samsuri Abdullah, Amalina Abu Mansor

“…It will assist policymakers and researchers in creating sustainable environmental management plans.   …”
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Toward a Self-Inflating Bag Mechanical Ventilator, Maturation in Continuous Use, Safety, and Repeatability for Ventilatory Variables by Noe Rodriguez, Carlos Rubio, Leonardo Barriga, Fernando Fonseca, Jorge Soto, Jose Pineda, David Sanchez, Antonio Rojas, David Lopez, Dalia Madrigal, Blanca Villagran, Mayra Sosa, Silvio Ñamendys, Alan Gutierrez, Alain Cueto

“…Background Researchers proposed mechanical ventilators (MVs) based on the automated compression of a self-inflating bag (SIB) to save lives during the pandemic caused by the SARS-CoV-2 virus. …”
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Assessment of Bone Aging—A Comparison of Different Methods for Evaluating Bone Tissue by Paweł Kamiński, Aleksander Gali, Rafał Obuchowicz, Michał Strzelecki, Adam Piórkowski, Marcin Kociołek, Elżbieta Pociask, Joanna Kwiecień, Karolina Nurzyńska

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Optimization of Serum and Salivary Cortisol Interpolation for Time-Dependent Modeling Frameworks in Healthy Adult Males by Nathaniel T. Berry, Travis Anderson, Christopher K. Rhea, Laurie Wideman

“…Model fit and performance were assessed using the coefficient of determination (R²) and the root mean square error (RMSE), as well as an examination of the equivalence, via two one-sided t-tests (TOST), of 24 h cortisol output between the observed and interpolated data. …”
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Back analysis of geomechanical parameters based on a data augmentation algorithm and machine learning technique by Hui Li, Weizhong Chen, Xianjun Tan

“…This endeavor not only facilitates the progression of underground engineering analysis in scenarios with limited data, but also serves as a pivotal reference for both researchers and practitioners alike.…”
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Psychometric properties of the Breast Cancer Awareness Measurement among Chinese women: a cross-sectional study by Ping Li, Na Liu, Dan-dan Chen, Wei-jia Sun, Xue-hui Zhang

“…This reliable instrument can help researchers and health professionals evaluate women’s knowledge about the symptoms and risk factors of breast cancer and identify their barriers to seeking medical help. …”
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Computerised analysis of non-conjugate spiral bevel gear mesh using an advanced and fast-converging tooth contact model by Maksat Temirkhan, Andas Amrin

“…This application aims to examine the impact of misalignment or profile modifications on the transmission error, path of contact, and stress.…”
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The relationship between proteinuria and coronary risk: a systematic review and meta-analysis. by Vlado Perkovic, Christine Verdon, Toshiharu Ninomiya, Federica Barzi, Alan Cass, Anushka Patel, Meg Jardine, Martin Gallagher, Fiona Turnbull, John Chalmers, Jonathan Craig, Rachel Huxley

“…MEDLINE and EMBASE were searched for studies reporting an age- or multivariate-adjusted estimate and standard error of the association between proteinuria and coronary heart disease. …”
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Modeling saturation exponent of underground hydrocarbon reservoirs using robust machine learning methods by Abhinav Kumar, Paul Rodrigues, A. K. Kareem, Tingneyuc Sekac, Sherzod Abdullaev, Jasgurpreet Singh Chohan, R. Manjunatha, Kumar Rethik, Shivakrishna Dasi, Mahmood Kiani

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Usability and accessibility in mHealth stroke apps: An empirical assessment by Pontus Svensson, Shuanglan Lin, Leonardo Horn Iwaya

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Deep Learning-Driven Beam-Steering for Dual-Polarized 28 GHz Antenna Arrays in 5G Wireless Networks by Siti Zainab M. Zainab Hamzah, Norun Farihah Abdul Malek, Sarah Yasmin Mohamad, Farah Nadia Mohd Isa, Teddy Surya Gunawan, Kuo-Sheng Chin

“…Beam-steering has become an attractive feature for researchers, as it enables users to move freely without affecting signal strength. …”
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Fractional-Order Swarming Intelligence Heuristics for Nonlinear Sliding-Mode Control System Design in Fuel Cell Hybrid Electric Vehicles by Nabeeha Qayyum, Laiq Khan, Mudasir Wahab, Sidra Mumtaz, Naghmash Ali, Babar Sattar Khan

“…Due to climate change, the electric vehicle (EV) industry is rapidly growing and drawing researchers interest. Driving conditions like mountainous roads, slick surfaces, and rough terrains illuminate the vehicles inherent nonlinearities. …”
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