Leveraging edge computing and deep learning for the real-time identification of bean plant pathologiesBean Plant Pathologies Dataset for Deep Learning Tasks by Andrew Katumba, Wayne Steven Okello, Sudi Murindanyi, Joyce Nakatumba-Nabende, Moses Bomera, Ben Wycliff Mugalu, Amos Acur

“…We evaluate image classification and object detection models using state-of-the-art Convolutional Neural Network (CNN) architectures to identify Angular Leaf Spot (ALS) and bean rust diseases, key bean diseases in Uganda and the region in general, from smartphone images of bean leaves collected in various districts of Uganda.The dataset employed to train these models is the Makerere University beans image dataset, comprising 15,335 images categorized into three (3) classes (ALS, bean rust, and healthy). …”
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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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Respiratory bacterial and viral pathogen spectrum among influenza-positive and influenza-negative patients by Jing Shi, Shi Han, Yating Zhang, Xiaohua Lu, Yunxia Gan, Narenqimuge Tong, Lu Ma, Hang Zhuan, Ying Dai, Yaqi Ji, Guoming Li, Dan Chen, Lu Yang

“…The most common co-infection pattern was H. influenzae and influenza virus, accounting for 133 cases (29.95% of mixed infections). …”
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Temporal and Spatial Dynamics of Summer Crop Residue Burning Practices in North China: Exploring the Influence of Climate Change and Anthropogenic Factors by Shuai Yin, Kunpeng Yi, Xiu Zhang, Tangzhe Nie, Lingqi Meng, Zhongyi Sun, Qingnan Chu, Zhipin Ai, Xin Zhao, Lan Wu, Meng Guo, Xinlu Liu

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Early detection of retinal and choroidal microvascular impairments in diabetic patients with myopia by Yufei Wu, Yufei Wu, Jiahui Jiang, Xiaoyu Deng, Xixi Zhang, Jinger Lu, Zian Xu, Yitian Zhao, Zai-Long Chi, Zai-Long Chi, Qinkang Lu, Qinkang Lu

“…A ResNet-50 convolutional neural network was further applied to analyze vascular density patterns and assist in DR grading. …”
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Pan-cancer analysis identifies CLEC12A as a potential biomarker and therapeutic target for lung adenocarcinoma by Desheng Zhou, Yachao Cui, Tianxiang Liang, Zhenpeng Wu, Haiping Yan, Yingchang Li, Wenguang Yin, Yunen Lin, Qiang You

“…Our comprehensive pan-cancer analysis revealed that CLEC12A exhibited distinct expression patterns across different cancer types, suggesting its potential as both a diagnostic and prognostic biomarker. …”
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Interaction between post-tumor inflammation and vascular smooth muscle cell dysfunction in sepsis-induced cardiomyopathy by Rui Liu, Lina Jia, Lin Yu, Detian Lai, Qingzhu Li, Bingyu Zhang, Enwei Guo, Kailiang Xu, Qiancheng Luo

“…Weighted gene co-expression network analysis (WGCNA), gene ontology (GO), and KEGG pathway enrichment analyses were utilized to elucidate the biological significance of these genes. …”
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Digital mapping of soil erodibility factor in response to land use change using machine learning models by Wudu Abiye, Orhan Dengiz

“…The spatial prediction of soil erodibility across land uses revealed distinct patterns. Forest soils exhibited the lowest mean erodibility values (0.0313 t ha⁻1 h MJ⁻1 mm⁻1), reflecting their higher resistance to erosion due to better soil structure and organic matter content. …”
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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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Enhancing agricultural commodity price forecasting with deep learning by R. L. Manogna, Vijay Dharmaji, S. Sarang

“…The results indicate that deep learning models, particularly Long Short-Term Memory (LSTM) networks and Gated Recurrent Units (GRU), demonstrate superior performance in capturing complex temporal patterns. …”
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Time-series visual representations for sleep stages classification. by Rebeca Padovani Ederli, Didier A Vega-Oliveros, Aurea Soriano-Vargas, Anderson Rocha, Zanoni Dias

“…Polysomnography is the standard method for sleep stage classification; however, it is costly and requires controlled environments, which can disrupt natural sleep patterns. Smartwatches offer a practical, non-invasive, and cost-effective alternative for sleep monitoring. …”
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Scale, state and the city: Transformation of Diyarbakır, Suriçi region through the framework of spatial morphology and urban resilience by Berfin Eren, Mehmet Emin Şalgamcıoğlu

“…Examining resilience at the urban scale through the street networks of different historical periods, produced via space syntax analysis, facilitates the formulation and analysis of patterns in urban movement, interactions, and past socio-economic activities. …”
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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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