Susceptibility-weighted imaging is a key diagnostic tool for isolated posterior inferior cerebellar arterial dissection: a case report by Yoshitaka Nakayama, Teppei Komatsu, Yasuyuki Iguchi

“…Abstract Background The diagnosis of isolated posterior inferior cerebellar artery (PICA) dissection poses challenges because of the diminutive caliber and convoluted nature of these vessels. This report aimed to highlight the potential superiority of susceptibility-weighted imaging (SWI) in the early detection of intramural hematoma. …”
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Soft-sediment Deformation Structures and Sand Body Architecture in the Chang 6 Oil Member of the Upper Triassic Yanchang Formation, Southwestern Ordos Basin, China by Qingshao Liang, Jingchun Tian, Feng Wang, Xiang Zhang

“…As a consequence, genetic models of the sand bodies formed by different sedimentation processes are established.…”
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Conflict between genetic and phenotypic differentiation: the evolutionary history of a 'lost and rediscovered' shorebird. by Frank E Rheindt, Tamás Székely, Scott V Edwards, Patricia L M Lee, Terry Burke, Peter R Kennerley, David N Bakewell, Monif Alrashidi, András Kosztolányi, Michael A Weston, Wei-Ting Liu, Wei-Pan Lei, Yoshimitsu Shigeta, Sálim Javed, Sama Zefania, Clemens Küpper

“…Alternatively, gene expression differences may be crucial in producing different phenotypes whereas neutral differentiation may be lagging behind.…”
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STYLISTIC MEANS OF IMPLEMENTING THE IDEA OF THE WORLD’S IRIDESCENCE IN PH.K. DICK’S “UBIK” IN THE CONTEXT OF TRANSLATION TRANSFORMATIONS by Svitlana F. Aleksenko, Larysa I. Taranenko

“…The idea of the world’s iridescence in the novel is brought about by the literary work’s fluctuating plot convolutions stemming from seemingly incoherent planes of different sections of the novel: a mosaic of the primary diegesis together with several hypo-diegeses comes across as a kind of an ontic hazy maze building up to an overall effect of the world’s fluidity and oscillation. …”
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Infrared Aircraft Detection Algorithm Based on High-Resolution Feature-Enhanced Semantic Segmentation Network by Gang Liu, Jiangtao Xi, Chao Ma, Huixiang Chen

“…Secondly, based on the idea of using dilated convolutions to expand the receptive field of feature maps, a hybrid atrous spatial pyramid pooling module is designed. …”
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Post-disaster flooded region segmentation using DeepLabv3+ and unmanned aerial system imagery by Akila Agnes Sundaresan, Appadurai Arun Solomon

“…The DeepLabv3+ model employs an encoder-decoder architecture, integrating Atrous Spatial Pyramid Pooling (ASPP) and atrous convolutions to capture multi-scale contextual features while preserving spatial details. …”
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Capsule Endoscopy Image Enhancement for Small Intestinal Villi Clarity by Shaojie Zhang, Yinghui Wang, Peixuan Liu, Yukai Wang, Liangyi Huang, Mingfeng Wang, Ibragim Atadjanov

“…Illumination gain factors are calculated from the low-frequency components, while gradient gain factors are derived from Laplacian convolutions on different regions. These factors enhance the high-frequency components, combined with the original image. …”
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Multi-Scale Geometric Feature Extraction and Global Transformer for Real-World Indoor Point Cloud Analysis by Yisheng Chen, Yu Xiao, Hui Wu, Chongcheng Chen, Ding Lin

“…The MSA module extracts features through multi-scale convolutions and adaptively aggregates features, focusing on both local geometric details and global semantic information at different scale levels, enhancing the understanding of complex scenes. …”
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An improved DeepLabv3 + railway track extraction algorithm based on densely connected and attention mechanisms by Yanbin Weng, Jie Yang, Changfan Zhang, Jing He, Cheng Peng, Lin Jia, Hui Xiang

“…Secondly, the receptive field is enlarged by cascading atrous convolutions with different dilation rates in the ASPP (atrous spatial pyramid pooling) module, and other feature maps are concatenated using the multi-scale attention module to enhance the extraction accuracy of the model. …”
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DMM-YOLO: A high efficiency soil fauna detection model based on an adaptive dynamic shuffle mechanism by Jiehui Ke, Renbo Luo, Guoliang Xu, Yuna Tan, Zhifeng Wu, Liufeng Xiao

“…First, a dynamic local shuffle module (DLSConv) is proposed, which utilizes convolutions and adaptive shuffling, effectively enhancing information interaction and feature richness. …”
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Multiscale Edge Enhancement and Progressive Change-Aware Network for Remote Sensing Change Detection by Yan Xing, Jiali Hu, Yunan Jia, Rui Huang

“…In addition, we propose a progressive change-aware module that progressively applies depthwise separable convolutions with kernels of decreasing size to localize changes at different scales, enabling precise refinement of change objects and reducing pseudochanges. …”
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Advancing malware imagery classification with explainable deep learning: A state-of-the-art approach using SHAP, LIME and Grad-CAM. by Sadia Nazim, Muhammad Mansoor Alam, Syed Safdar Rizvi, Jawahir Che Mustapha, Syed Shujaa Hussain, Mazliham Mohd Suud

“…Whereas AI has countless benefits, its convoluted and sometimes vague internal operations can establish difficulties. …”
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MAS-YOLOv11: An Improved Underwater Object Detection Algorithm Based on YOLOv11 by Yang Luo, Aiping Wu, Qingqing Fu

“…By employing learnable spatial weighting parameters, ASFFHead adaptively fuses features across different scales, significantly improving the robustness of multi-scale object detection. …”
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Underwater Object Detection Algorithm Based on an Improved YOLOv8 by Fubin Zhang, Weiye Cao, Jian Gao, Shubing Liu, Chenyang Li, Kun Song, Hongwei Wang

“…First, the introduction of CIB building blocks into the backbone network, along with the optimization of the C2f structure and the incorporation of large-kernel depthwise convolutions, effectively enhances the model’s receptive field. …”
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Biological features and medical significance of the <i>Listeria</i> bacteria by I. A. Derevyanchenko, Lyudmila A. Kraeva

“…After thawing and subsequent cultivation of Listeria on fresh nutrient medium, a pronounced populational heteromorphism is noted: formation of protoplast-type cells, L-forms and convoluted revertant cells, which requires the use PCR and ELISA for bacteria detection. …”
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Enhanced YOLOv8 for Robust Pig Detection and Counting in Complex Agricultural Environments by Jian Li, Wenkai Ma, Yanan Wei, Tan Wang

“…These improvements include DCNv4 deformable convolutions for irregular pig postures, BiFPN bidirectional feature fusion for multi-scale information integration, EfficientViT linear attention for computational efficiency, and PIoU v2 loss for improved overlap handling. (2) A density-aware post-processing module with intelligent NMS strategies that adapt to different crowding scenarios. …”
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Dynamic atrous attention and dual branch context fusion for cross scale Building segmentation in high resolution remote sensing imagery by Yaohui Liu, Shuzhe Zhang, Xinkai Wang, Rui Zhai, Hu Jiang, Lingjia Kong

“…Furthermore, we fused triplet attention with depth-wise separable convolutions, reducing computational requirements and mitigating potential overfitting scenarios. …”
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Utilize Data Augmentation and Flexi Corner Block for Road Damage Detection by Zhaohui Wu, Runjing Zhao, Xingliang Sun, Zhaojia Li

“…Additionally, the appearance of road damage can vary under different weather conditions, making consistent detection difficult. …”
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Effect of Cypermethrin on Hematological and Histological Parameters in Male Albino Mice by Noor S. Jaafer, Adel M. Rabee

“…The mice were divided into three groups, with the control group remaining untreated and the other groups treated with different doses. The behavioral effects produced mild to moderate toxic symptoms. …”
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A Novel Network for Choroidal Segmentation Based on Enhanced Boundary Information by Wenbo Huang, Chaofan Qu, Yang Yan

“…BENet is constructed on the TransUnet backbone and integrates a boundary enhancement module, leveraging a multi-branch architecture and dilated convolutions to capture features across multiple scales. …”
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