Maternal Serum Ferritin Levels and its effect on Cord Blood Hemoglobin in patients with Gestational Diabetes Mellitus by Sabeen Ashraf, Maliha Sadaf, Tallat Farkhanda, Saba Yousaf, Amna Iftikhar, Maryam Iftikhar

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A Prospective Psychological Study of Patients with Undiagnosed Episodes of Disturbed Consciousness by L. D. Blumhardt, D. Barnes, S. J. Howell, E. Ghadiali

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DFTD-YOLO: Lightweight Multi-Target Detection From Unmanned Aerial Vehicle Viewpoints by Yuteng Chen, Zhaoguang Liu

“…To validate the model, we conducted validation experiments on the VisDrone2021 dataset. The experimental results showed a 33.67% reduction in the number of parameters, 17.3% reduction in the amount of computation, 10.74% improvement in mAP@0.5, and 13.2% improvement in mAP@0.5:0.95 compared with the existing YOLOv8n. …”
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Automated White Matter Hyperintensity Detection in Multiple Sclerosis Using 3D T2 FLAIR by Yi Zhong, David Utriainen, Ying Wang, Yan Kang, E. Mark Haacke

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An Incremental Kernel Density Estimator for Data Stream Computation by Yulin He, Jie Jiang, Dexin Dai, Klohoun Fabrice

“…Kernel density estimator (KDE) is the mostly used technology to estimate the unknown p.d.f. for the given dataset. The existing KDEs are usually inefficient when handling the p.d.f. estimation problem for stream data because a bran-new KDE has to be retrained based on the combination of current data and newly coming data. …”
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An adaptive load forecasting model in microgrids: A cloud-edge orchestrated approach tailored for accuracy, real-time response, and privacy needs by Yan Zhao, Jiaqi Shi, Donglai Wang, He Jiang, Xiang Zhang

“…Finally, the adaptive forecasting model is verified by the actual dataset from the MiRIS microgrid in Belgium. The proposed model can achieve satisfactory trade-off between accuracy and computation resource consumption, which meets the requirement for different types of microgrid load forecasting tasks.…”
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Grid Anchor Lane Detection Based on Attribute Correlation by Qiaohui Feng, Cheng Chi, Fei Chen, Jianhao Shen, Gang Xu, Huajie Wen

“…The experimental results show that the proposed model achieved first-place F1 scores of 93.05 and 73.27 in the normal and curved scenes on the CULane dataset, respectively. This model can balance the robustness of lane detection in both normal and curved scenarios.…”
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Analyzing Geospatial and Socioeconomic Disparities in Breast Cancer Screening Among Populations in the United States: Machine Learning Approach by Soheil Hashtarkhani, Yiwang Zhou, Fekede Asefa Kumsa, Shelley White-Means, David L Schwartz, Arash Shaban-Nejad

“…We developed a large-scale dataset of social determinants of health, comprising 13 variables for 72,337 census tracts. …”
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Hyperspectral Image Classification Using Spectral-Spatial Dual Random Fields With Gaussian and Markov Processes by Yaqiu Zhang, Lizhi Liu, Xinnian Yang

“…Experimental results on three datasets with varying complexity show that the proposed algorithm improves computational efficiency by approximately 152 times and accuracy by about 7%–26% compared to the current popular Gaussian process methods. …”
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The good, bad, and ugly of comment prompts: Effects on length and helpfulness of peer feedback by Huifeng Mu, Christian D. Schunn

“…This study explored the relative frequencies of twelve specific features (divided into metacognitive, motivational, strategic, and conceptual scaffolds) that could be included as scaffolding comment prompts and their relationship to comment length and helpfulness. A large dataset from one online peer review system was used, which involved naturalistic course data from 281 courses at 61 institutions. …”
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Research on the impact of mutual elderly care on the physical and mental health of rural elderly in China by Jialiang Liu, Xiaohan Liu, Bin Hu, GuangYao Liu

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How endocrine disruptors affect fish reproduction on multiple levels: A review by Socha Magdalena, Chyb Jarosław, Suder Aleksandra, Bojarski Bartosz

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Strategic Approaches to Define the Production Rate in Conceptual Projects of Critical Raw Materials by Lucas Zucchi Silva, Anna Luiza Marques Ayres da Silva

“…Copper and zinc are crucial for renewable energy systems and low-carbon technologies, while lead supports energy storage applications. A dataset containing mine production and mineral resources from several mine projects, gathered from a specialized global company, was used to create a production rate equation and then compared using an adherence indicator to validate the formulae. …”
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Three-level voltage control algorithm in distributed electrical networks with solar photovoltaic systems by V. P. Kuzmenko

“…The algorithm's performance is evaluated using an open dataset of solar energy generation. The results show a significant improvement in voltage regulation metrics, conforming to the standards established by GOST 32144-2013. …”
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The Preferential Impairment of Pupil Constriction Stimulated by Blue Light in Patients with Type 2 Diabetes without Autonomic Neuropathy by Fukashi Ishibashi, Rie Kojima, Miki Taniguchi, Aiko Kosaka, Harumi Uetake, Mitra Tavakoli

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REDISCOVERY OF CAMELLIA TONKINENSIS (PIT.) COHEN-STUART (THEACEAE) ON MT. BA VI, HANOI, VIETNAM by Anh Vinh Le, Hieu Nguyen, Thanh Son Hoang, Anthony S. Curry

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Contrastive Dual-Pool Feature Adaption for Domain Incremental Remote Sensing Scene Classification by Yingzhao Shao, Yunsong Li, Xiaodong Han

“…Extensive experiments on six widely used datasets demonstrate that DACL consistently outperforms state-of-the-art methods in domain incremental learning for remote sensing image classification scenarios, achieving an average accuracy improvement of 4.07% over the best baseline method.…”
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An examination of changes in autumn Eurasian snow cover and its relationship with the winter Arctic Oscillation using 20th Century Reanalysis version 3 by G. J. Marshall

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The Potential of Neonatal Organ Donation in Central Sweden by Emil Bluhme, Ewa Henckel, Boubou Hallberg, Carl Jorns

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Forecasting power generation of wind turbine with real-time data using machine learning algorithms by Asiye Bilgili, Kerem Gül

“…We employed machine learning techniques to predict wind power generation by utilizing historical weather data in conjunction with corresponding wind power generation data. The dataset was sourced from real-time SCADA data obtained from wind turbines, allowing for a comprehensive analysis. …”
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