Digital mapping of soil erodibility factor in response to land use change using machine learning models by Wudu Abiye, Orhan Dengiz

“…The study utilized Multiple Linear Regression (MLR) and machine learning models, including Random Forest (RF), Support Vector Machine (SVM), Artificial Neural Network (ANN), and an ensemble of the four single models. …”
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Single-cell technology reveals the crosstalk between tumor cells and immune cells: driving immune signal transduction and inflammation-mediated cardiac dysfunction in the tumor mic... by Wenyang Nie, Wangzheqi Zhang, Zhikai Xiahou, Yuxuan Meng, Yuhang Liu, Jingwen Zhang, Zhen Wang, Yong Wang

“…The cancer model utilizing the MKI67+ TCs subpopulation (MTRS) successfully classified patient survival and linked with immune infiltration patterns and medication responses. Enrichment analysis revealed tumor-promoting and immunological signaling networks. …”
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Knowledge Mapping of COVID-19 and Asthma/Allergic Rhinitis: A Visual and Bibliometric Analysis by Chen Y, Song C, Wang J, Cao Y, Lu Y, Han X

“…Analysis tools such as VOSviewer and CiteSpace were employed to perform network mappings and citation analyses, focusing on co-authorship networks, keyword co-occurrences, and citation impacts to understand the research dynamics and collaborative patterns within this field.Results: A collection of 553 publications was obtained, revealing an upward trend in research volume over the study period. …”
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A multi-module enhanced YOLOv8 framework for accurate AO classification of distal radius fractures: SCFAST-YOLO by Yu Wang, Haifu Sun, Tiankai Jiang, JunFeng Shi, JunFeng Shi, Qin Wang, Qin Wang, Hongwei Yang, Hongwei Yang, Yusen Qiao

“…Third, our Feature-Driven Pyramid Network facilitates multi-resolution feature fusion across scales for improved detection. …”
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Identification of novel metabolism-related biomarkers of Kawasaki disease by integrating single-cell RNA sequencing analysis and machine learning algorithms by Chenhui Feng, Zhimiao Wei, Xiaohui Li, Xiaohui Li

“…The cellular expression patterns of signature genes were further validated using our own scRNA-seq dataset. …”
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Integrated pan-cancer analysis of ADM’s role in prognosis, immune modulation and resistance by Yunhuan Liu, Caicun Zhou

“…ADM’s correlations with immune checkpoint genes, immune cell infiltration, MSI, and TMB were evaluated using data from Timer and TCGA via R. Drug sensitivity analysis was performed with GDSC and CTRP databases, supported by network visualizations. …”
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A Multimodal Pain Sentiment Analysis System Using Ensembled Deep Learning Approaches for IoT-Enabled Healthcare Framework by Anay Ghosh, Saiyed Umer, Bibhas Chandra Dhara, G. G. Md. Nawaz Ali

“…The first phase focuses on detecting the facial region from a video sequence, a crucial step for extracting facial patterns indicative of pain. In the second phase, the system extracts discriminant and divergent features from the facial region using deep learning techniques, utilizing some convolutional neural network (CNN) architectures, which are further refined through transfer learning and fine-tuning of parameters, alongside fusion techniques aimed at optimizing the model’s performance. …”
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Misinformation identification as a digital literacy skill in an ultra-orthodox community: an eye tracking study by Nili Steinfeld, Tamar Berenblum, Yehudit Miletzky, Elazar Kornfeld

“…However, when combined with other predictors in multivariate regression, Haredi became a non-significant predictor, and digital knowledge and activity on social networks were found to be significant and strong predictors of misinformation identification. …”
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Investigation on potential bias factors in histopathology datasets by Farnaz Kheiri, Shahryar Rahnamayan, Masoud Makrehchi, Azam Asilian Bidgoli

“…Abstract Deep neural networks (DNNs) have demonstrated remarkable capabilities in medical applications, including digital pathology, where they excel at analyzing complex patterns in medical images to assist in accurate disease diagnosis and prognosis. …”
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An ECoG-Based Binary Classification of BCI Using Optimized Extreme Learning Machine by Xinman Zhang, Qi Xiong, Yixuan Dai, Xuebin Xu, Guokun Song

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Deterministic Light Detection and Ranging (LiDAR)-Based Obstacle Detection in Railways Using Data Fusion by Susana Dias, Pedro J. S. C. P. Sousa, João Nunes, Francisco Afonso, Nuno Viriato, Paulo J. Tavares, Pedro M. G. P. Moreira

“…This real-world testing scenario allowed the evaluation of the framework’s effectiveness under realistic operating conditions. …”
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Deep-Learning-Based Land Cover Mapping in Franciacorta Wine Growing Area by Girma Tariku, Isabella Ghiglieno, Andres Sanchez Morchio, Luca Facciano, Celine Birolleau, Anna Simonetto, Ivan Serina, Gianni Gilioli

“…Land cover mapping is essential to understanding global land-use patterns and studying biodiversity composition and the functioning of eco-systems. …”
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Analyzing and explaining the reflective teacher approach and its role in improving curriculum knowledge: Developing an educational discourse at Farhangian University by Reza Masouminejad

“…In fact, reflective activity allows teachers to take a moment to examine their past teaching experiences and through the tools of self-observation, self-analysis and self-evaluation, identify individual experiences and discover the truth about themselves and improve their professional life (Suphasri & Chinokul, 2021). …”
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Global ground-based tropospheric ozone measurements: reference data and individual site trends (2000–2022) from the TOAR-II/HEGIFTOM project by R. Van Malderen, A. M. Thompson, A. M. Thompson, D. E. Kollonige, D. E. Kollonige, R. M. Stauffer, H. G. J. Smit, E. Maillard Barras, C. Vigouroux, I. Petropavlovskikh, I. Petropavlovskikh, T. Leblanc, V. Thouret, P. Wolff, P. Effertz, P. Effertz, D. W. Tarasick, D. Poyraz, G. Ancellet, M.-R. De Backer, S. Evan, V. Flood, M. M. Frey, J. W. Hannigan, J. L. Hernandez, M. Iarlori, B. J. Johnson, N. Jones, R. Kivi, E. Mahieu, G. McConville, K. Müller, T. Nagahama, J. Notholt, A. Piters, N. Prats, R. Querel, D. Smale, W. Steinbrecht, K. Strong, R. Sussmann

“…Reprocessing with uniform procedures, the TOAR-II working group Harmonization and Evaluation of Ground-based Instruments for Free-Tropospheric Ozone Measurements (HEGIFTOM) homogenized public data from five networks: ozonesondes, In-service Aircraft for a Global Observing System (IAGOS) profiles, solar absorption Fourier transform infrared (FTIR) spectrometer measurements, lidar observations, and Dobson Umkehr data. …”
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Altered functional connectivity density in the brains of hemodialysis end-stage renal disease patients: An in vivo resting-state functional MRI study. by Yan Shi, Chaoyang Tong, Minghao Zhang, Xiaoling Gao

“…<h4>Conclusion</h4>Our findings revealed abnormal intrinsic dysconnectivity pattern of salience network-related regions in ESRD patients from the whole brain network perspective. …”
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Generative AI in construction risk management: a bibliometric analysis of the associated benefits and risks by Mohamed Abdelwahab Hassan Mohamed, M.K.S. Al-Mhdawi, Udechukwu Ojiako, Nicholas Dacre, Abroon Qazi, Farzad Rahimian

“…Using VOSViewer, visual maps illustrate research trends, collaboration networks and citation patterns. Findings – The findings reveal a notable increase in research interest in GenAI for CRM, with benefits classified into technical, operational, technological and integration categories. …”
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Identification of Isoflavonoid Biosynthesis-Related R2R3-MYB Transcription Factors in Callerya speciosa (Champ. ex Benth.) Schot Using Transcriptome-Based Gene Coexpression Analysi... by Linchan Yu, Ding Huang, Jinyuan Gu, Dongjin Pan, Yong Tan, Rongshao Huang, Shaochang Yao

“…Conserved motifs and domain distribution, expression patterns, and coexpression networks were also employed to identify the potential R2R3-MYB TFs in the regulation of isoflavonoid biosynthesis. …”
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Simulating the drought response of European tree species with the dynamic vegetation model LPJ-GUESS (v4.1, 97c552c5) by B. F. Meyer, J. P. Darela-Filho, K. Gregor, A. Buras, Q.-L. Gu, A. Krause, D. Liu, P. Papastefanou, S. Asuk, T. E. E. Grams, C. S. Zang, A. Rammig

“…We quantify the uncertainty introduced by the new processes using a variance-based global sensitivity analysis. Additionally, we evaluate the model against water and carbon fluxes from a network of eddy covariance flux sites across Europe. …”
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Analyzing the impact of COVID-19 on seasonal infectious disease outbreak detection using hybrid SARIMAX-LSTM model by Geunsoo Jang, Jeonghwa Seo, Hyojung Lee

“…It also examines the impact of the COVID-19 pandemic on their transmission patterns. Methods: We employed the Seasonal AutoRegressive Integrated Moving Average with eXogenous variables (SARIMAX) model, long short-term memory (LSTM) neural networks, and a hybrid SARIMAX-LSTM model to predict disease incidence and identify outbreak periods. …”
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Laminar differences in response to simple and spectro-temporally complex sounds in the primary auditory cortex of ketamine-anesthetized gerbils. by Markus K Schaefer, Manfred Kössl, Julio C Hechavarría

“…Recent studies have pointed out that communication-sound encoding could be based on discharge patterns of neuronal populations. Following this idea, we investigated whether the activity of local neuronal networks, such as those occurring within individual cortical columns, is sufficient for distinguishing between sounds that differed in their spectro-temporal properties. …”
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