MCO Perspectives on Medicaid Policy: Racial Equity in Pregnancy and Child Health by Christine McClure, Cynthia Salter, Dara D. Méndez, Evan S. Cole, Sarah A. Sanders, Sydney Sharp, Marquita Smalls, Linda Adodoadji, Adena Bowden, Marian Jarlenski

“…Methods: Qualitative, semi-structured group interviews with representatives (n = 30) from the six Medicaid MCOs in Pennsylvania were completed in the summer of 2022. …”
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Development and Validation of a Brain Aging Biomarker in Middle-Aged and Older Adults: Deep Learning Approach by Zihan Li, Jun Li, Jiahui Li, Mengying Wang, Andi Xu, Yushu Huang, Qi Yu, Lingzhi Zhang, Yingjun Li, Zilin Li, Xifeng Wu, Jiajun Bu, Wenyuan Li

“…Longitudinal track, Cox regression, and Kaplan-Meier plots were used to investigate the longitudinal performance of the brain age gap. ResultsThe BVGN model achieved an MAE of 2.39 years, surpassing current state-of-the-art approaches while obtaining an interpretable saliency map and graph theory supported by medical evidence. …”
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DLProv: a suite of provenance services for deep learning workflow analyses by Débora Pina, Liliane Kunstmann, Adriane Chapman, Daniel de Oliveira, Marta Mattoso

“…Deep learning (DL) workflows consist of multiple interdependent and repetitive steps, including data preparation, model training, evaluation, and deployment. Each step involves decisions impacting the final model’s performance, interpretability, and applicability. …”
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Critical review of OCT in clinical practice for the assessment of oral lesions by Fariba Esperouz, Domenico Ciavarella, Mauro Lorusso, Andrea Santarelli, Lorenzo Lo Muzio, Giuseppina Campisi, Lucio Lo Russo

“…In oral oncology, OCT offers high-resolution, non-invasive (uses non-ionizing light), label-free, real-time imaging, providing detailed insights into tissue microanatomy and cellular structures, thus having the potential to improve early detection, monitoring and cost-effective screening of high-risk populations. …”
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Optimized AI and IoT-Driven Framework for Intelligent Water Resource Management by Mahmoud Badee Rokaya Mahmoud, Dalia Ismaeil Ibrahim Hemdan, Samah Hazzaa Alajmani, Raneem Yousif Alyami, Ghada Elmarhomy, Hassan Hashim, El-Sayed Atlam

“…Moreover, ontology-based feature structuring enhances interpretability, while hyperparameter tuning (GridSearchCV, Bayesian Optimization) and model compression techniques (pruning, quantization, knowledge distillation) ensure computational efficiency. …”
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From Narratives to Diagnosis: A Machine Learning Framework for Classifying Sleep Disorders in Aging Populations: The <i>sleepCare</i> Platform by Christos A. Frantzidis

“…The dataset contained 475 labeled sleep narratives, classified into five etiological categories relevant for clinical interpretation. <b>Results</b>: The transformer-based model utilizing BERT embeddings and an optimized Support Vector Machine classifier achieved an overall accuracy of <b>81%</b> on the test set. …”
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Arts on prescription intervention for primary healthcare patients with poor mental health or social isolation: a mixed-method study by Anita Jensen, Anders Halling, Mirnabi Pirouzifard, Martin Lindström

“…We also conducted 28 semi-structured interviews. We analysed data using paired t-test and a general linear regression model for change in SWEMWBS and SHIS. …”
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WHU-RS19 ABZSL: An Attribute-Based Dataset for Remote Sensing Image Understanding by Mattia Balestra, Marina Paolanti, Roberto Pierdicca

“…The advancement of artificial intelligence (AI) in remote sensing (RS) increasingly depends on datasets that offer rich and structured supervision beyond traditional scene-level labels. …”
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Factors influencing seismic wave attenuation in the lithosphere in continental rift zones by А. А. Dobrynina, V. A. Sankov, J. Déverchère, V. V. Chechelnitsky

“…Having compared the depth variations in the attenuation coefficient (δ) and the frequency (n) with the velocity structures of the studied regions, we conclude that seismic wave attenuation changes at the velocity boundaries in the medium. …”
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Comprehensive Quantitative Analysis of Coal-Based Liquids by Mask R-CNN-Assisted Two-Dimensional Gas Chromatography by Huan-Huan Fan, Xiang-Ling Wang, Jie Feng, Wen-Ying Li

“…Therefore, the development of a method for accurately and rapidly analyzing chromatograms is crucial for understanding the chemical compositions and structures of coal-based liquids, such as direct coal liquefaction (DCL) oils and coal tar. …”
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Lived experiences of palliative care physicians on the impacts of language and cultural discordance on end-of-life care across Ontario, Canada: a qualitative study using the inters... by Seung Heyck Lee, Maya Gibb, Sathya Karunananthan, Margaret Cody, Peter Tanuseputro, Claire E. Kendall, Daniel Bédard, Stephanie Collin, Krystal Kehoe MacLeod

“…Community physicians following fee-for-service models were less likely to have access to professional interpreter services. …”
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Effect of nutrition education on hemoglobin level of pregnant women in Southeast Ethiopia: a cluster randomized controlled trial by Girma Beressa, Susan J. Whiting, Tefera Belachew

“…We used a pretested, interviewer-administered, structured questionnaire to collect the data. The Hgb level of pregnant women was measured by collecting a finger-prick blood sample using a HemoCue Hb 301. …”
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Machine learning algorithms to predict stroke in China based on causal inference of time series analysis by Qizhi Zheng, Ayang Zhao, Xinzhu Wang, Yanhong Bai, Zikun Wang, Xiuying Wang, Xianzhang Zeng, Guanghui Dong

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The Multi-Resolution Migration Imaging Method for Grounded Electrical Source Transient Electromagnetic Virtual Wavefield by Kailiang Lu, Xiu Li, Jianhua Yue, Ya’nan Fan, Qinrun Yang, Xiaozhen Teng

“…By adjusting the pulse width of the differential pulse, the concentration frequency band of harmonic energy can be changed, enabling multi-resolution detection of geological structures at different depths. In this study, TEM fields are excited using differential pulses of varying pulse widths during power supply. …”
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An extended TOPSIS technique based on correlation coefficient for interval-valued q-rung orthopair fuzzy hypersoft set in multi-attribute group decision-making by Rana Muhammad Zulqarnain, Imran Siddique, Sameh Askar, Ahmad M. Alshamrani, Dragan Pamucar, Vladimir Simic

“…The purpose of this research is to explore the applicability of correlation coefficients (CC) and weighted correlation coefficients (WCC) in interval-valued q-rung orthopair fuzzy hypersoft sets (IVq-ROFHSS) structures with their essential characteristics. These measures are developed to address the inevitable confusion, inconsistency, and volatility in real-life decision-making challenges. …”
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Comparisons and Analyses of Thermospheric Mass Densities Derived from Global Navigation Satellite System–Precise Orbit Determination and an Ionization Gauge–Orbital Neutral Atmosph... by Yujiao Jin, Xianguo Zhang, Maosheng He, Yongping Li, Xiangguang Meng, Jiangzhao Ai, Bowen Wang, Xinyue Wang, Yueqiang Sun

“…However, the hemispheric asymmetry is almost absent in simulations from the NRLMSISE-00 and DTM94 models compared with observations. At high latitudes, density enhancements of observations and simulations are shown, characterized by periodic bulge structures. …”
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Understanding the synergistic interaction between a 1,3,4-thiadiazole derivative and amphotericin B using spectroscopic and theoretical studies by Lidia Ślusarczyk, Klaudia Rząd, Grzegorz Niedzielski, Mikołaj Gurba, Jose Chavez, Luca Ceresa, Joe Kimball, Ignacy Gryczyński, Zygmunt Gryczyński, Mariusz Gagoś, James Hooper, Arkadiusz Matwijczuk

“…The AmB molecular aggregates indicated interaction of C1 with the antibiotic at points responsible for the formation of dimer structures. The spectroscopic results were further corroborated, analyzed, and interpreted using the methods of quantum mechanical modelling. …”
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Enhanced neurological anomaly detection in MRI images using deep convolutional neural networks by Ahmed Mateen Buttar, Zubair Shaheen, Abdu H. Gumaei, Mogeeb A. A. Mosleh, Mogeeb A. A. Mosleh, Indrajeet Gupta, Samah M. Alzanin, Muhammad Azeem Akbar

“…IntroductionNeurodegenerative diseases, including Parkinson’s, Alzheimer’s, and epilepsy, pose significant diagnostic and treatment challenges due to their complexity and the gradual degeneration of central nervous system structures. This study introduces a deep learning framework designed to automate neuro-diagnostics, addressing the limitations of current manual interpretation methods, which are often time-consuming and prone to variability.MethodsWe propose a specialized deep convolutional neural network (DCNN) framework aimed at detecting and classifying neurological anomalies in MRI data. …”
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The Malthusian parameter and $R_0$ for heterogeneous populations in periodic environments by Hisashi Inaba

“…&nbsp; &nbsp In this paper, we propose a new approach to establish the sign relation between $R_0$ and the Malthusian parameter $\lambda_0$ for linear structured population dynamics in a periodic environment. …”
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Enhanced Object Detection in Thangka Images Using Gabor, Wavelet, and Color Feature Fusion by Yukai Xian, Yurui Lee, Te Shen, Ping Lan, Qijun Zhao, Liang Yan

“…Existing detectors often struggle to capture both global structures and local details and rarely leverage domain-specific visual priors. …”
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