Detecting and Mapping Peatlands in the Tibetan Plateau Region Using the Random Forest Algorithm and Sentinel Imagery by Zihao Pan, Hengxing Xiang, Xinying Shi, Ming Wang, Kaishan Song, Dehua Mao, Chunlin Huang

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Peculiarities of the examination of citrus fruits (mandarins) during the forensic examination by M. V. Harbuz, L. Yu. Ulybina

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Determination of the Engineering Properties of Submarine Soil Layers in the Bohai Sea Using the Piezocone Penetration Test by Bohong Wu, Guihe Wang, Jiong Li, Yu Wang, Baolin Liu

“…The laboratory test results of the undrained shear strength, clay sensitivity, and the OCR match the CPT test results best when the parameters Nkt, Ns, and k are 15, 6, and 0.3, respectively. The final determination of the ultimate pile capacity depends on the soil’s mechanical properties and the pile type and design. …”
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Error-related potentials during multitasking involving sensorimotor control: an ERP and offline decoding study for brain-computer interface by Masaki Yasuhara, Isao Nambu

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Detection of Burned Areas by Remote Sensing Techniques: İzmir Seferihisar Forest fire case study by Aslı Sabuncu, Haluk Özener

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Posthumous coins of the Legnica-Brzeg Piasts by Robert Pieńkovski

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Concept of Tributalism: a comparative Analysis of S. Amin 's, J. Haldon's and H. H. Stahl's approaches by Nerijus Babinskas

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Modelling the Current and Future Pollutant Emission from Non-Road Machinery: A Case Study in Shanghai by Rui Chen, Xuerui Yang, Lei Xi, Huajun Zhen, Guangli Xiu

“…For construction machinery, harbor machinery, and other machineries, the total emissions can be predicted to rise by 6.01%, 4.25%, and 7.85%, respectively. The proposed spatial characteristic analysis method and the established classification approaches based on the actual pollution source data may provide guidance for the non-road machinery emissions pollution research investigations in other regions.…”
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A Method for Tomato Ripeness Recognition and Detection Based on an Improved YOLOv8 Model by Zhanshuo Yang, Yaxian Li, Qiyu Han, Haoming Wang, Chunjiang Li, Zhandong Wu

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Depression Recognition Using Daily Wearable-Derived Physiological Data by Xinyu Shui, Hao Xu, Shuping Tan, Dan Zhang

“…Utilizing a Random Forest algorithm, we distinguished depressive and non-depressive individuals with varying classification accuracies on data aggregated over 6 h, 2 h, 30 min, and 5 min segments, as 90.0%, 84.7%, 80.1%, and 76.0%, respectively. …”
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Clinical Evaluation of Acute Pancreatitis Caused by SARS-CoV-2 Virus Infection by Hulya Vatansev, Mehmet Aykut Yıldırım, Serkan Kuccukturk, Mehmet Ali Karaselek, Cengiz Kadiyoran

“…According to the Atlanta classification, 19 patients had mild AP and 10 patients had moderate AP. …”
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Algorithms and Results of Eye Tissues Differentiation Based on RF Ultrasound by R. Jurkonis, A. Janušauskas, V. Marozas, D. Jegelevičius, S. Daukantas, M. Patašius, A. Paunksnis, A. Lukoševičius

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Research on Multiattribute Comprehensive Evaluation of Intelligent Judicial Decision System by Gang Zhao, Jifa Wang, Huibin Shi

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Integration of field data and application of machine learning methods to assess the condition of the near-wellbore zone of carbonate reservoirs by Andrey V. Soromotin, Dmitriy A. Martyushev

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Exploration and comparison of the effectiveness of swarm intelligence algorithm in early identification of cardiovascular disease by Tiantian Bai, Mengru Xu, Taotao Zhang, Xianjie Jia, Fuzhi Wang, Xiuling Jiang, Xing Wei

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Impact Assessment of Urethral Meatus Morphology and Penile Biometry in Transurethral Prostate and Bladder Surgery by Rodrigo Ribeiro Vieiralves, Paulo Henrique Pereira Conte, Eduardo Medina Felici, Nádia Cristina Pinheiro Rodrigues, Tomás Accioly de souza, Francisco J. B. Sampaio, Luciano Alves Favorito

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Spatial Differentiation in Urban Thermal Environment Pattern from the Perspective of the Local Climate Zoning System: A Case Study of Zhengzhou City, China by Jinghu Pan, Bo Yu, Yuntian Zhi

“…As building heights increase, the UHI of common built landscapes (LCZ 1–6) increases and then reduces in spring, summer, and autumn and then decreases in winter as building heights increase. …”
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Investigating the Effect of Wood Ash–Lime Blend in the Stabilization of Reclaimed Asphalt Pavement for Road Construction. by Byamugisha, Mark

“…RAP samples were collected and mixed with wood ash and lime in varying percentage replacement of 0%, 2%, 4%, 6%, 8%, and 10% by sample weight. Geotechnical properties such as particle size according to BS 1377 Part 2 and Part 4 standards, Atterberg limit ASTM D3282 standards, unconfined compressive strength test (UCS), compaction test, and California bearing ratio (CBR) test were carried out on both native and stabilized soil samples as per AASHTO classification. …”
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Leveraging Comprehensive Echo Data to Power Artificial Intelligence Models for Handheld Cardiac Ultrasound by D.M. Anisuzzaman, PhD, Jeffrey G. Malins, PhD, John I. Jackson, PhD, Eunjung Lee, PhD, Jwan A. Naser, MBBS, Behrouz Rostami, PhD, Grace Greason, BA, Jared G. Bird, MD, Paul A. Friedman, MD, Jae K. Oh, MD, Patricia A. Pellikka, MD, Jeremy J. Thaden, MD, Francisco Lopez-Jimenez, MD, MSc, MBA, Zachi I. Attia, PhD, Sorin V. Pislaru, MD, PhD, Garvan C. Kane, MD, PhD

“…Results: Models showed strong performance on the retrospective TTE datasets (LVEF regression: root mean squared error (RMSE)=6.83%, 6.53%, and 6.95% for Rochester, Arizona, and Florida cohorts, respectively; classification of LVEF ≤40% versus LVEF > 40%: area under curve (AUC)=0.962, 0.967, and 0.980 for Rochester, Arizona, and Florida, respectively; age: RMSE=9.44% for Rochester; sex: AUC=0.882 for Rochester), and performed comparably for prospective HCU versus TTE data (LVEF regression: RMSE=6.37% for HCU vs 5.57% for TTE; LVEF classification: AUC=0.974 vs 0.981; age: RMSE=10.35% vs 9.32%; sex: AUC=0.896 vs 0.933). …”
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Equivalent method for DFIG wind farms based on modified LightGBM considering voltage deep drop faults by Xuecheng Liu, Peixiao Fan, Jun Yang, Song Ke, Binyu Ma, Yangzhou Pei, Jian Xu

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