The Metaphor from an Evil to a Lover: Changes in Ancient Chinese Society through the Image of Cui Yingying in The Romance of the West Chamber (9th to 17th Century AD) by Wenbo ZHAO, Wei Wang

“…Through comparative textual analysis and gender theory, the paper traces Yingying’s transformation from a negatively portrayed figure in the Tang Dynasty—often labeled as a seductress, Youwu (尤物), abandoned woman, or prostitute—to the Yuan Dynasty’s reimagined heroine in Wang Shifu’s adaptation: a bold, intelligent, and emotionally complex woman who challenges societal norms. …”
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Advanced Pharmaceutical Recognition System Based on Deep Learning for Mobile Medication Identification by Seongheon Kim, Minsu Chae, Jeungmin Lee, Hwamin Lee

“…Medication misidentification poses a significant risk to patient safety, particularly for elderly individuals managing complex prescriptions. To address this, we developed a deep learning-based system for real-time medication recognition on mobile devices. …”
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Phenomenon of Transfiguration and System of Motifs in I. S. Shmelev’s Story “The Kulikovo Field” by E. V. Paraskeva

“…The article presents an analysis of motives that permeate the narrative in the story by Ivan Shmelev “The Kulikovo Field.” …”
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A computational tool for quantitative analysis of vascular networks. by Enrique Zudaire, Laure Gambardella, Christopher Kurcz, Sonja Vermeren

“…Non-automated protocols are being used widely and they are, in general, time--and labour intensive, prone to human error and do not permit computation of complex spatial metrics. We have developed a light-weight, user friendly software, AngioTool, which allows for quick, hands-off and reproducible quantification of vascular networks in microscopic images. …”
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An Improved Convolutional Neural Network (CNN) for Disease Detection and Diagnosis for Multi-crop Plants by Florence Choong Chiao Mei, Bryan Ng Jan Hong

“…However, many detection methods are complex, require high computational power and time to perform the required analysis and focus only on a particular species or strain of the disease. …”
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Two-Stage Unsupervised Hyperspectral Band Selection Based on Deep Reinforcement Learning by Yi Guo, Qianqian Wang, Bingliang Hu, Xueming Qian, Haibo Ye

“…Hyperspectral images are high-dimensional data that capture detailed spectral information across a wide range of wavelengths, enabling the precise identification and analysis of different materials or objects. …”
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A bibliometric analysis of studies on artificial intelligence in neuroscience by Ugur Tekin, Murat Dener, Murat Dener

“…Artificial intelligence (AI) techniques, particularly deep learning and machine learning, offer transformative solutions by improving the analysis of complex neural data, facilitating early diagnosis, and enabling personalized treatment approaches. …”
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Effective connectivity analysis of response inhibition functional network by Monica Di Giuliano, Andy Schumann, Feliberto de la Cruz, Pedro Henrique Rodrigues Da Silva, Karl-Jürgen Bär

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Comparative Analysis of Machine Learning Algorithms for Antenna Alignments by Mohammad Al Bataineh, Dana I. Abu Abdoun, Mahmoud Al Ahmad

“…This is the first work to propose a data-driven antenna alignment method based solely on S-parameter analysis, offering a cost-effective and scalable alternative to complex imaging or optical systems. …”
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Secure Indoor Water Level Monitoring with Temporal Super-Resolution and Enhanced Yolov5 by Sui Guo, Jiazhi Huang, Yuming Yan, Peng Zhang, Benhong Wang, Houming Shen, Zhe Yuan

“…Specifically, to enhance the quality of indoor monitoring images, we propose a temporal super-resolution enhancement module. …”
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Analysis of the anatomical and biomechanical characteristics of the pelvic floor in cystocele by Chuqiao Song, Wei Wen, Lei Pan, Jiaqian Sun, Yun Bai, Jinhua Tang, Chen Zhong, Bangmin Han, Shujie Xia, Yiping Zhu

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Artificial Intelligence Powered Automated and Early Diagnosis of Acute Lymphoblastic Leukemia Cancer in Histopathological Images: A Robust SqueezeNet-Enhanced Machine Learning Fram... by Vineet Mehan

“…Combining DL and ML algorithms addresses the complexity of understanding histopathological images and the classification process. …”
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Resilience and renewal: the personal impact of physical activity in breast cancer survivors by María-Jesús Lirola, A. Irene Hernández-Rodríguez, Cristina Cuenca-Piqueras, María Esther Prados-Megías

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SPPMFN: Efficient Multimodal Financial Time-Series Prediction Network With Self-Supervised Learning by Ningxin Li, Gang Chao, Jianke Zou, Gaozhe Jiang

“…At the same time, despite capturing complex price dynamics, machine learning and deep learning approaches often face the risk of overfitting. …”
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Social and individual factors associated with eating disorders risk among adolescents in secondary schools of Sicily (south-Italy) by Silvia Ruggieri, Rosalba Contentezza, Melania Casella, Achille Cernigliaro, Ilaria Cosentini, Gaspare Drago, Gianluca Lo Coco, Maria Rita Semola, Salvatore Gullo

“…Abstract Eating disorders (EDs) are complex medical conditions that primarily affect adolescents. …”
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DISCOURSE OF TOLERANCE: FRAME ANALYSIS IN BARACK OBAMA’S SPEECHES by Saulet Alpysbayeva, Valeriy Makhpirov

“…Obama speeches), linguistic (analyse of verbal constructions), contextual and frame analysis, which include such stages as content analysis to quantify tolerance, framing each form of tolerance and context analysis. …”
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Positive mood enhances gender stereotype activation during semantic integration and re-analysis by Marcin Naranowicz, Katarzyna Jankowiak

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CDKD-w+: A Keyframe Recognition Method for Coronary Digital Subtraction Angiography Video Sequence Based on w+ Space Encoding by Yong Zhu, Haoyu Li, Shuai Xiao, Wei Yu, Hongyu Shang, Lin Wang, Yang Liu, Yin Wang, Jiachen Yang

“…By employing X-ray sensors to visualize the coronary arteries, it generates two-dimensional images from any angle. However, due to the complexity of the coronary structures, the 2D images may sometimes lack sufficient information, necessitating the construction of a 3D model. …”
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A Survey on the Deep Learning-Based Mismatch Removal: Principles and Methods by Shiyu Chen, Cailong Deng, Yong Zhang, Yong Wang, Qixin Zhang, Zhimin Zhou

“…Due to the inherent limitations of matching algorithms and the complexities associated with image contents, mismatches are inevitable and can have detrimental effects on downstream tasks in computer vision and remote sensing. …”
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Classification of Structural and Functional Development Stage of Cardiomyocytes Using Machine Learning Techniques by V. R. Bondarev, K. O. Ivanko, N. G. Ivanushkina

“…Finally, Chan–Vese method, which belongs to the regional segmentation methods, is chosen for the image segmentation and removing artifacts and/or parts of other cells from the image. …”
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