A Fault Identification Method for Electric Submersible Pumps Based on DAE-SVM by Peihao Yang, Jiarui Chen, Hairong Zhang, Sheng Li

“…The purpose of this study was to investigate how to detect abnormalities in electric submersible pumps (ESPs) in advance and how to classify the faults by monitoring the production data before pumps break down. …”
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Research on Soft-Sensing Methods for Measuring Diene Yields Using Deep Belief Networks by Xiangwu Deng, Zhiping Peng, Delong Cui

“…The experimental results show that the mean squared error of the test set with historical data is 1.15%, and the mean absolute percentage error of the measured data is 2.79%. …”
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Examining the effectiveness of Prostatic hyperplasia education on the level of participant's knowledge and awareness. by Hari Krismanuel, Purnamawati Tjhin

“…This study aims to evaluate the effectiveness of community-based education on prostatic hyperplasia (PH) in enhancing knowledge and awareness among elderly male participants, addressing the gap in public awareness and the need for early detection, unlike prior studies conducted in clinical settings. …”
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The impact of artificial intelligence on the endoscopic assessment of inflammatory bowel disease-related neoplasia by Siri A. Urquhart, Michael Christof, Nayantara Coelho-Prabhu

“…Early studies suggest that AI can reduce interobserver variability, improve targeting of biopsies, and potentially lead to more personalized surveillance strategies. Although clinical data specific to IBD-related neoplasia remain limited compared to sporadic colorectal neoplasia, the integration of AI into endoscopic practice holds significant potential to enhance dysplasia detection and improve patient outcomes. …”
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Dynamic epigenetic age mosaicism in the human atherosclerotic artery. by Silvio Zaina, Manel Esteller, Isabel Gonçalves, Gertrud Lund

“…We surveyed DNA methylation age in two human artery samples: a set of donor-matched, paired atherosclerotic and healthy aortic portions, and a set of carotid artery atheromas. …”
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Advancing Nutritional Status Classification With Hybrid Artificial Intelligence: A Novel Methodological Approach by Md. Moddassir Alam, Asif Irshad Khan, Aasim Zafar, Mohammad Sohail, Mohammad Tauheed Ahmad, Rezaul Azim

“…The clustered data is then partitioned into training and testing sets for classification using the extreme gradient boosting fuzzy (EGBF). …”
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Harmonization of multi-center diffusion tensor tractography in neonates with congenital heart disease: Optimizing post-processing and application of ComBat by Benjamin Meyers, Vincent K. Lee, Lauren Dennis, Julia Wallace, Vanessa Schmithorst, Jodie K. Votava-Smith, Vidya Rajagopalan, Elizabeth Herrup, Tracy Baust, Nhu N. Tran, Jill V. Hunter, Daniel J. Licht, J. William Gaynor, Dean B. Andropoulos, Ashok Panigrahy, Rafael Ceschin

“…This is followed by a data-driven outlier detection step, with the purpose of removing unwanted noise and outliers from the final harmonization. …”
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Epidemiological association of the COVID-19 pandemic on Mycoplasma pneumoniae infections in children in Tianjin, China: a single-centre retrospective study (2017–2024) by Wei Wang, Lu Wang, Run Guo, Yun Bo, Yingxue Zou, Hualei Cui

“…Selection criteria included children admitted with a diagnosis of respiratory infection, while those with incomplete clinical data or non-respiratory infections were excluded.Primary and secondary outcome measures The primary outcome was the overall positive detection rate of MP-RNA. …”
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Chromatin Phenotype Karyometry Can Predict Recurrence in Papillary Urothelial Neoplasms of Low Malignant Potential by Rodolfo Montironi, Marina Scarpelli, Antonio Lopez-Beltran, Roberta Mazzucchelli, David Alberts, James Ranger-Moore, Hubert G. Bartels, Peter W. Hamilton, Janine Einspahr, Peter H. Bartels

“…This approach was validated by dividing the data into training and test sets with 2/3 of the cases assigned to the training sets, and 1/3 to the test sets, on a rotating basis, and validation of the classification rate was thus tested on three separate data sets by a leave-k-out process. …”
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The state of cancer care in Russia: breast cancer. Epidemiology and survival of patients. The impact of the SARS-CoV-2-beta-coronavirus epidemic (clinical and population study) by V. M. Merabishvili, V. F. Semiglazov, A. V. Komiakhov, T. Yu. Semiglazova, P. V. Krivorotko, А. M. Belyaev

“…The value of the index of accuracy has been set back five years, but there is a sign of its improvement in 2021. …”
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Semiautomated segmentation of breast tumor on automatic breast ultrasound image using a large-scale model with customized modules by Yi Zhou, Mingtao Ye, Haiyang Ye, Shuqi Zeng, Xi Shu, Ying Pan, Aifen Wu, Pengpeng Liu, Guodao Zhang, Shibin Cai, Shuzheng Chen

“…This retrospective study collected data from 329 patients diagnosed with breast cancer (average age 54 years). …”
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Tracing the evolutionary pathway of SARS-CoV-2 through RNA sequencing analysis by Mostafa Rezapour, Sean V. Murphy, David A. Ornelles, Patrick M. McNutt, Anthony Atala

“…Our second objective was to employ Cross-MAS to identify a robust set of genes indicative of SARS-CoV-2 infection regardless of the variant and to assess their classification performance. …”
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A rapid method for methanol quantification in spirits using UV-visible spectroscopy and FTIR by Ronick S. Shadrack, Krishna K. Kotra, Daniel Tari, Hancy Tabi, Jacinta Botleng, Rolina Kelep, Ladyshia Regenvanu

“…Methanol peak was observed at 1,020 cm−1 region of the spectrum. A set of experimental repetition was made with methanol concentration of 0.02% to 0.5% and 0.1% to 5% for UV-Vis and FTIR, respectively, to determine the limit of detection (LOD) and limit of quantification (LOQ). …”
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Resistance Patterns of <i>Neisseria gonorrhoeae</i> in PLHIV: A Cross-Sectional Study from the Republic of Cyprus, 2015–2023 by Michaela Takos, George Siakallis, Annalisa Quattrocchi, Maria Alexandrou, Panagiota Papadamou, Loukia Panagiotou, Danny Alon-Ellenbogen

“…Demographic and clinical data, including antibiograms, treatments and test of cure, were recorded. …”
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Natural Language Processing for Enhanced Clinical Decision Support in Allergy Verification for Medication Prescriptions by Juan Pablo Botero-Aguirre, MS, Michael Andrés García-Rivera, MS

“…The validated model was applied to another data set with 80,917 medication prescriptions from 5859 hospitalized patients with at least one prescribed medication (during August and September 2024) to detect potential prescription errors. …”
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Evaluation of nanoparticle fabrication for improved localized surface plasmon resonance response by Mcoyi Michael, Mpofu Kelvin, Lugongolo Masixole, Williamson Carolyn, Ombinda-Lemboumba Saturnin, Mthunzi-Kufa Patience

“…In this approach, in DNA hybridization experiment we increased LSPR peak shifts, using simulation data sets, from 0.005 nm to 0.3 nm. We detected complementary hybridization between a target DNA and a capture probe, and partial complementary hybridization between a target DNA and a capture probe. …”
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Multi-scale wastewater surveillance at a Bangkok tertiary care hospital: A potential sentinel site for real-time COVID-19 surveillance at hospital and national levels. by Quinton Hayre, Supaporn Wacharapluesadee, Piyapha Hirunpatrawong, Ananporn Supataragul, Opass Putcharoen, Leilani Paitoonpong

“…Influent wastewater at the hospital's wastewater treatment center yielded the most consistent SARS-CoV-2 RNA detection across all sample sites, with detection in all 26 samples. …”
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Improving Hokkai shrimp tracking accuracy using YOLOv8 with reflection and parallax correction by Natsuo Okada, Serina Kubo, Yanhui Zhu, Kaito Takizawa, Shion Wakae, Amane Nakamura, Sakura Igawa, Yoko Ohtomo, Kenji Minami, Kazushi Miyashita, Youhei Kawamura

“…The results showed a high detection accuracy, with success rates of 95.65% and 100% from the front and side views, respectively, ensuring reliable data on shrimp movement in aquaria. …”
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XGBoost models based on non imaging features for the prediction of mild cognitive impairment in older adults by Miguel A. Fernández-Blázquez, José M. Ruiz-Sánchez de León, Rubén Sanz-Blasco, Emilio Verche, Marina Ávila-Villanueva, María José Gil-Moreno, Mercedes Montenegro-Peña, Carmen Terrón, Cristina Fernández-García, Jaime Gómez-Ramírez

“…In addition, an online risk calculator has been developed and made available free of charge to facilitate clinical use and provide a practical, cost-effective tool for early detection in diverse healthcare settings ( https://aimar-project.shinyapps.io/MCI-risk-calculator/ ). …”
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Assessment of flavivirus RNA stability and infectivity in various water environments by Yuka Sano, Hawraa Al-Alawi, Misao Himeno, Ryuichi Majima, Kazumi Haga, Myo Thura Kyaw, Satoshi Taniguchi, Meng Ling Moi

“…While DENV and ZIKV have been detected in urine samples, data on the presence and stability of flaviviruses in the water environment are limited. …”
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