Monitoring Gypsiferous Soils by Leveraging Advanced Spaceborne Hyperspectral Imagery via Spectral Indices and a Machine Learning Approach by Najmeh Rasooli, Saham Mirzaei, Stefano Pignatti

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Hemorheological system in coronary heart disease patients: prognostic value by L. I. Malinova, P. Yu. Dovgalevsky

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Safety of selective non-steroidal anti-inflammatory drugs: analysis of the last years data by N. A. Shostak, A. A. Klimenko, N. A. Demidova, D. A. Anichkov

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Applications of machine learning in potentially toxic elemental contamination in soils: A review by Yan Li, Bao Xiang, Tianyang Wang, Yinhai He, Xiaoyang Liu, Yancheng Li, Shichang Ren, Erdan Wang, Guanlin Guo

“…Hyperspectral data combined with ML methods can predict the content of PTEs in large-scale areas at a low cost. In addition, ML algorithms that integrate environmental covariates offer superior performance in spatial predictions compared with traditional geostatistical methods. …”
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Radiomics model based on computed tomography images for prediction of radiation-induced optic neuropathy following radiotherapy of brain and head and neck tumors by Elham Raiesi Nafchi, Pedram Fadavi, Sepideh Amiri, Susan Cheraghi, Maryam Garousi, Mansoureh Nabavi, Iman Daneshi, Marzieh Gomar, Malihe Molaie, Ali Nouraeinejad

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Option Pricing Based on Modular Neural Network by Moslem Peymany Foroushani, mohamad ali dehghan dehnavi, Milad Kouhkan

“…Subsequently, the theoretical prices derived from the Black-Scholes-Merton equation were compared with their corresponding market prices. In the neural network models, option prices were predicted using Python and its machine learning algorithms. …”
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Diagnosis and Management of Alzheimer’s Disease in Primary Care: A Real-World Study in Ontario, Canada by Zahinoor Ismail, Melanie Wilson, Hany Khalifa, Daniela Belovich, Eileen Shaw, Tram Pham, Suzanne McMullen, Yuhao Chen, Nafiz Sadman, Jackson Cai, Farhana Zulkernine, David Barber

“…Methods: This retrospective observational study used de-identified primary care data from electronic medical records (EMR) data provided by the researchers from Queen’s University, Ontario, Canada from August 2011 to August 2021. …”
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Optimization of Pertamax Fuel Distribution Using Clarke-Wright Savings, Nearest Neighbour, and Goal Programming (Case Study: Malang City) by Tharisa Melani, Sobri Abusini, Marjono Marjono

“…These findings highlight the effectiveness of combining these algorithms in fuel distribution optimization, providing a more efficient solution compared to existing routes. …”
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Data Assimilation of Satellite-Derived Arctic Sea-Ice Thickness During Boreal Summer by Jeong-Gil Lee, Daehyun Kang, Joo-Hong Kim, Jong-Min Kim, Sang-Moo Lee, Yoo-Geun Ham

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Overview and Prospects of Visibility Analysis Approaches by Jianghong Zhao, Ailin Xu, Xueqing Zhang, Yunhui Zhang, Yihong Zhang, Mengtian Cao, Ming Huang

“…Visibility analysis is categorized into 2D, 2.5D, and 3D analyses, summarizing its extensive application fields and research dimensions. Chronologically, this paper reviews various algorithms, comparing their advantages and limitations in terms of processing speed, accuracy, and applicability. …”
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A Two-Stage Corrosion Defect Detection Method for Substation Equipment Based on Object Detection and Semantic Segmentation by Zhigao Wang, Xinsheng Lan, Yong Zhou, Fangqiang Wang, Mei Wang, Yang Chen, Guoliang Zhou, Qing Hu

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Source reconstruction via deposition measurements of an undeclared radiological atmospheric release by S. Van Leuven, S. Van Leuven, S. Van Leuven, P. De Meutter, P. De Meutter, J. Camps, P. Termonia, P. Termonia, A. Delcloo, A. Delcloo

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Domain Adversarial Convolutional Neural Network Improves the Accuracy and Generalizability of Wearable Sleep Assessment Technology by Adonay S. Nunes, Matthew R. Patterson, Dawid Gerstel, Sheraz Khan, Christine C. Guo, Ali Neishabouri

“…Wearable accelerometers are widely used as an ecologically valid and scalable solution for long-term at-home sleep monitoring in both clinical research and care. In this study, we applied a deep learning domain adversarial convolutional neural network (DACNN) model to this task and demonstrated that this new model outperformed existing sleep algorithms in classifying sleep–wake and estimating sleep outcomes based on wrist-worn accelerometry. …”
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Association between pro-inflammatory diet and fecal incontinence: a large population-based study by Haiyang Wang, Haiyang Wang, Zihan Liu, Zihan Liu, Xingfu Lu, Enyu Luan, Enyu Luan, Tingting Dong, Tingting Dong, Can Li, Can Li, Yanni Lv, Erkang Wu, Tao Shen, Tao Shen

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Diagnosing COVID-19 Infection in Chest X-Ray Images Using Neural Network by Salim M. Zaki, Mustafa Musa Jaber, Mohammed A. Kashmoola

“…This research conducted a retrospective multi-test analysis system to detect suspicious COVID-19 performance, and use of chest X-Ray features to assess the progress of the illness in each patient, resulting in a "corona score." where the results were satisfactory compared to the benchmarked techniques.  …”
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Editorial by Bulent Cavas

“…This issue features 11 original research articles that highlight contemporary developments, challenges, and opportunities in science education. …”
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Efficiency and safety of the Russian-made KERATOLINK device used to treat patients with stage I–II keratoconus and pellucid marginal corneal degeneration by A. T. Khandzhyan, E. N. Iomdina, A. V. Ivanova, A. S. Sklyarova, N. V. Khodzhabekyan, I. V. Manukyan

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Adult Hope Scale: validation in older adults by Kate Labrosciano, Jillian Dorrian, Braam Lowies, Roslyn Russell, Kurt Lushington

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Characterization of immune microenvironment associated with medulloblastoma metastasis based on explainable machine learning by Fengmao Zhao, Xiangjun Liu, Jingang Gui, Hailang Sun, Nan Zhang, Yun Peng, Ming Ge, Wei Wang

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Identification and Validation of Ferritinophagy-Related Biomarkers in Periodontitis by Yi-Ming Li, Chen‑Xi Li, Reyila Jureti, Gulinuer Awuti

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