Understanding Clinician Knowledge About Race Adjustment in the Vaginal Birth After Cesarean Calculator by Julia Cron, Amelia A. Shapiro, Laura Carasimu, Julia Iyasere, Johanna M. Schisler, Szilvia Nagy, Sandra Angus, Anna Burgansky, Ashlesha K. Dayal, Tracy Bohn Hemmerdinger, Denise Howard, Corrina Oxford-Horrey, Donald C. Phillibert, Jean-Ju Sheen, Dena Goffman

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The use of artificial intelligence to analyze and optimize financial flows by М. А. Miakisheva

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Development and validation of an interpretable multi-task model to predict outcomes in patients with rhabdomyolysis: a multicenter retrospective cohort studyResearch in context by Chunli Liu, Jie Shi, Fengjuan Wang, Duo Li, Yu Luo, Bofan Yang, Yunlong Zhao, Li Zhang, Dingwei Yang, Heng Jin, Jie Song, Xiaoqin Guo, Haojun Fan, Qi Lv

“…Summary: Background: Rhabdomyolysis (RM) is a complex clinical syndrome with heterogeneous progression patterns among patients of varying severity. Early and accurate prediction of acute kidney injury (AKI), disease severity, renal replacement therapy (RRT) requirements, and mortality risk is essential for timely identification of high-risk individuals, personalized treatment planning, and optimal allocation of healthcare resources. …”
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Image Clustering based on Artificial Intelligence Techniques by Baydaa Khaleel

“…Finally we make comparisons between results obtained after applying these algorithms on this images data set.TheFRBF is better than the other three methods that applied in this research such as G-G, ABC, RBF, because the FRBF was obtained higher classification rate in testing state equal (96.8571) and low false alarm equal(3.1429).…”
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Circadian rhythm disruption by PARP inhibitors correlates with treatment toxicity in patients with ovarian cancer and is a predictor of side effectsResearch in context by Deeksha Malhan, Janina Hesse, Nina Nelson, Kay Stankov, Jessica Nguyen, Ouda Aboumanify, Josefin Garmshausen, Gunther Rogmans, Bastian Czogalla, Jens Gerber, Martin Koch, Tomáš Kupec, Oliver Tomé, Ralf Witteler, Mustafa Deryal, Michael Eichbaum, Jalid Sehouli, Elena Ioana Braicu, Angela Relógio

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Predictive modeling and optimization of noise emissions in a palm oil methyl ester-fueled diesel engine using response surface methodology and artificial neural network integrated... by J.M. Zikri, M.S.M. Sani, M.F.F.A. Rashid, J. Muriban, G.S. Prayogo

“…This research examines the predictive performance of two modeling techniques—Response Surface Methodology (RSM) and an Artificial Neural Network enhanced by a Genetic Algorithm (ANN-GA)—in relation to noise emission levels from a single-cylinder diesel engine running on palm oil methyl ester (POME). …”
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Smart wearable sensor-based model for monitoring medication adherence using sheep flock optimization algorithm-attention-based bidirectional long short-term memory (SFOA-Bi-LSTM) by Yasser Alatawi, Palanisamy Amirthalingam, Narmatha Chellamani, Manimurugan Shanmuganathan, Mostafa A. Sayed Ali, Saleh Fahad Alqifari, Vasudevan Mani, Muralikrishnan Dhanasekaran, Abdulelah Saeed Alqahtani, Ahmed Aljabri

“…The primary objective of this research is to implement sensor devices/smart wearables powered by advanced deep learning (DL) techniques to evaluate complex data patterns effectively and make accurate predictions. …”
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Development and validation of a machine learning model for online predicting the risk of in heart failure: based on the routine blood test and their derived parameters by Jianchen Pu, Yimin Yao, Xiaochun Wang

“…By collecting and analyzing routine blood data, machine learning models were built to identify the patterns of changes in blood indicators related to HF.MethodsWe conducted a statistical analysis of routine blood data from 226 patients who visited Zhejiang Provincial Hospital of Traditional Chinese Medicine (Hubin) between May 1, 2024, and June 30, 2024. …”
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Measuring mortality due to HIV-associated tuberculosis among adults in South Africa: Comparing verbal autopsy, minimally-invasive autopsy, and research data. by Aaron S Karat, Mpho Tlali, Katherine L Fielding, Salome Charalambous, Violet N Chihota, Gavin J Churchyard, Yasmeen Hanifa, Suzanne Johnson, Kerrigan McCarthy, Neil A Martinson, Tanvier Omar, Kathleen Kahn, Daniel Chandramohan, Alison D Grant

“…Verbal autopsy (VA) is used to estimate cause of death (CoD) patterns but has mostly been validated against a suboptimal gold standard for HIV and TB. …”
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Optimized SPR-PCF sensor for sucrose detection inspired by vertical pupil geometry by Mohammad Reza Khodatars Dashtmian, Vahid Fallahi, Mahmood Seifouri, Saeed Olyaee

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Machine learning and microfluidic integration for oocyte quality prediction by Hassan Saffari, Davood Fathi, Peyman Palay, Hamid Gourabi, Rouhollah Fathi

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A Novel Empirical Fractional Approach for Modeling the Clogging of Membrane Filtration During Protein Microfiltration by Leila Cherifi, Yamina Ammi, Salah Hanini, Mohamed Hentabli, Ouafa Belkacem, Jérôme Harmand

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Remaining useful life prediction of a small sample of aero-engine based on an improved gray Markov model by Dong-hai Li, Ji-liang Tu, Hui Liu, Nai-zhi Liao

“…First, a two-stage feature engineering strategy is designed: (1) Spearman correlation analysis identifies degradation-sensitive physical parameters. (2) Principal component analysis reduces dimensionality while preserving degraded trajectory patterns. Second, a gray-Markov hybrid model is developed to capture nonlinear wear dynamics, where polynomial fitting simulates accelerated failure modes in late life. …”
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A study on determination of an optimized detector for single photon emission computed tomography by Mohammad Khoshakhlagh, Jalil Islamian, Mohammad Abedi, Babak Mahmoudian, Ali Mardanshahi

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Optimizing dance motion reconstruction using a two-dimensional matrix approach with hybrid genetic and fuzzy logic differential evolution by Lin Wang, Yutong Liu, Yucong Geng, Mohammad Khishe

“…We develop the Two-Dimensional Matrix-Calculation (TDMC) model, combined with the Hybrid Genetic Algorithm with Fuzzy Logic Differential Evolution (HGA-FLDE), which aims to optimize the reconstruction of complex dance movements by leveraging Riemannian geometry and adaptive optimization for biomechanical nonlinear motion patterns and missing joint data. …”
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Using data mining techniques to improve inflation rate management by Fatemeh Zahra Abedi Samakoosh, Soheila Karbasi

“…Then, by running the traveling salesman algorithm on the graph, we found a path where the group of foods and beverages is the bottleneck of the research subject. …”
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Physical and mental health management for the older adult using XGBoost algorithm supported by new media technology: developing personalized health intervention plans using healthc... by Yutong Wang, Xin Guan, Shiyuan Qu, Jiarong Liao, Xin Ming, Enhui Li, Zixi Wang

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探討強化學習演算法之素材推薦機制與AI學習履歷之學習者感知 Learner Perceptions of AI-Powered Learning Portfolios and Personalized Material Recommendation Mechanisms in Reinforcement Learning Algorithms... by 曾建維 Jian-Wei Tzeng, 黃天麒 Tien-Chi Huang, 薛承祐 Cheng-Yu Hsueh, 廖英淞 Ying-Song Liao

“…A quasiexperimental research design was employed. Participants were recruited from a calculus course taught at a university in northern Taiwan. …”
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New PSO-GWO-based model for enhancing power quality in electrical networks interconnected with photovoltaic sources by Mehdi Sanaei, Hamidreza Akbari, Zohreh Beheshtipour, Somayeh Mousavi

“…The central concern addressed in this study revolves around the impact of PV source power quality on local electric networks. This research endeavors to elucidate how achieving a more refined power pattern in electric networks is attainable by considering the power quality of PV sources. …”
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A dual-band dipole array antenna with fan-beam radiation for biomedical and telecommunications applications by Rahim Barzegari, Changiz Ghobadi, Javad Nourinia

“…The overall dimensions of the antenna are 1.100λ × 0.563λ × 0.004λ. This research design offers advantages such as smaller dimensions, higher gain, and a more straightforward structure compared to dual-band array antennas with fan beam radiation patterns.…”
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