Colony size as the main driver of the evolution of song diversity and composition in weaverbirds by Harscouet-Commecy, Erwan, Adenot, Tohi, Thetiot, Alexandre, Bresciani, Nel, Oschadleus, Hans-Dieter, Covas, Rita, Rybak, Fanny, Doutrelant, Claire

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Rapid landslide detection from free optical satellite imagery using a robust change detection technique by Rosa Coluzzi, Angela Perrone, Caterina Samela, Vito Imbrenda, Salvatore Manfreda, Letizia Pace, Maria Lanfredi

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Vegetable Fields Mapping in Northeast China Based on Phenological Features by Jialin Hu, Huimin Lu, Kaishan Song, Bingxue Zhu

“…Second, spectral analysis was integrated with three machine learning classifiers, which leveraged phenological and spectral features extracted from satellite images to accurately identify vegetable-growing areas. …”
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Classification of Lung Nodule Using Hybridized Deep Feature Technique by Malin Bruntha, Immanuel Alex Pandian, Siril Sam Abraham

“…The dimensionality reduction technique, Principle Component Analysis (PCA) has been introduced to improve the performance of hybridized features with SVM. …”
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Epidemiological and clinical features of measles on the example of an outbreak in the Penza region by J. Yu. Kurmaeva, A. V. Afonin, S. B. Rybalkin, V. L. Melnikov, M. V. Nikolskaya

“…The diagnosis was confirmed by detection of specific marker (IgM) in the blood by ELISA. …”
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Detection and management of Hirschsprung’s disease in neonates by Mahmoud Abdalla Rahmo, Sherif Nabhan Kaddah, Ahmed Ezzat, Osama Abdelazim

“…Conclusion The aim of our study was to observe the various clinical features of Hirschsprung’s disease (HD) in neonates to enable early detection and management. …”
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The diagnostic role of FNA based on clinicopathological features in thyroid malignancy by Mohammad Mehdi Fallahi, Sepehr Koulaian, Parviz Mardani, Seyed Ali Malekhosseini, Reza Shahriarirad

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An innovative deep learning framework for skin cancer detection employing ConvNeXtV2 and focal self-attention mechanisms by Burhanettin Ozdemir, Ishak Pacal

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Clinical features of autoimmune cerebellar ataxia related to neuronal antibodies by Yun Cai, Zhijuan Hua, Yanan Chen, Xue Chen, Na Liu, Ting Liu, Qianwen Zhou, Jinghua Li, Weiying Di

“…One patient relapsed.ConclusionACA can be induced or aggravated by infection. The detection of neuronal antibodies is crucial for the precise diagnosis of ACA. …”
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The features of the composition of the gut microbiota in patients with hypertension and abdominal obesity by S. M. Koval, I. O. Snihurska, K. O. Yushko, O. V. Mysnychenko, V. Yu. Halchynska

“…The aim of this work was to study the features of the composition of the gut microbiota (GM) in patients with arterial hypertension (AH), which occurs against the background of abdominal obesity (AO). …”
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Prevalence and clinical features of interstitial lung disease in patients with psoriasis by Nobuhiro Kanaji, Noriyuki Misaki, Makiko Murota, Masashi Iwata, Ryou Ishikawa, Kentaro Yamamura, Hisamu Tanaka, Naoya Yokota, Shuusuke Fujimoto, Toshiki Yajima, Hiroaki Dobashi, Hiromi Shimada, Risa Wakiya, Naoki Watanabe, Takuya Inoue, Hitoshi Mizoguchi, Yuta Komori, Kazuki Kojima, Norimitsu Kadowaki, Teruki Dainichi

“…This study aimed to investigate the frequency and clinical features of ILD in patients with psoriasis and propose a new conceptual framework of “ILD associated with psoriasis”. …”
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RSCIWANet: Regional Spatial-Channel Information Weighted Attention Network for Video SAR and Large-Scale SAR Image Targets Detection by Hao Chang, Ping Lang, Xiongjun Fu, Kunyi Guo, Xinqing Sheng, Jialin Guan, Chuyi Liu

“…Synthetic aperture radar (SAR) encounters distinct challenges in airborne surveillance (dynamic scene variations, target edge blurring) and spaceborne observation (large-scale analysis, high-resolution processing). Both traditional methods and contemporary deep learning-based solutions exhibit limitations: inadequate dynamic target adaptability, weak small-target detection, and redundant recognition in large-scale scenarios, stemming from challenges like target ambiguity, occlusion, and interclass similarity. …”
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Features of somatic pathology with psoriasis in the conditions of the Aral Sea region by Z. I. Akhmedzhanova, G. U. Zhanabayeva, K. A. Muldabekova

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An Interpretability Method for Broken Wire Detection by Hailong Wu, Shaoqing Liu, Zhanghou Xu, Zhenshan Ji, Mengpeng Qian, Xiaolin Yuan, Yong Wang

“…Therefore, it is necessary to perform broken wire detection. Deep learning has powerful feature-learning capabilities and is characterized by high accuracy and efficiency, and the YOLOv8 object detection model has been adopted to detect wire breaks in electromagnetic signal images of wire rope, achieving better results. …”
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PHENOTYPIC FEATURES OF ENDOMETRIAL CANCER AND MSI IN COLON AND BLOOD SERUM by S. M. Kartashov, E. M. Oleshko

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Lightweight Fire Detection in Tunnel Environments by Shakhnoza Muksimova, Sabina Umirzakova, Dilnoza Abduxalikovna Babaraximova, Young Im Cho

“…This study proposes a lightweight hybrid deep learning (DL) model that integrates Convolutional Neural Networks (CNNs) for spatial feature extraction and Long Short-Term Memory (LSTM) networks for temporal analysis, offering an efficient and robust solution for real-time tunnel fire detection. …”
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Clinical and Pathological Features of Flexural Deformities Associated with Myopathies in Foals by Maria Pia Pasolini, Luigi Auletta, Davide De Biase, Emanuela Vaccaro, Chiara Del Prete, Chiara Montano, Mariaelena de Chiara, Evaristo Di Napoli, Orlando Paciello, Giuseppe Piegari

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FEATURES OF PAPILLOMAVIRUS INFECTION IN HUMAN IMMUNODEFICIENCY VIRUS-INFECTED WOMEN by KRISTINA V. Marochko, NATALIA V. Artymuk

“…To determine prevalence and features of human papillomavirus (HPV) infection in human immunodeficiency virus (HIV)-infected women.Materials and Methods. …”
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Medical Image Fusion Based on Feature Extraction and Sparse Representation by Yin Fei, Gao Wei, Song Zongxi

“…SM contains the local structure feature captured by the Laplacian of a Gaussian (LOG) and EM contains the energy and energy distribution feature detected by the mean square deviation. …”
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MalGEA: A malware analysis framework via matrix factorization based node embedding and graph external attention by Ruisheng Li, Qilong Zhang, Huimin Shen

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