Image Restoration by Second-Order Total Generalized Variation and Wavelet Frame Regularization by Jianguang Zhu, Kai Li, Binbin Hao

“…Numerical results show that our proposed model can preserve more details and get higher image visual quality than some current state-of-the-art methods.…”
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Targeted Magnetic Nanoparticles for Beta-Amyloid Detection by Nelly S. Chmelyuk, Aleksey A. Nikitin, Veronika V. Vadekhina, Vladimir A. Mitkevich, Maxim A. Abakumov

“…However, it is known that magnetic nanoparticles (MNPs) can improve the T2 contrast in MR images of various targets. <b>Methods</b>: We used cubic MNPs, which were produced by thermal decomposition and then it was covalently bonded to a modified fluorescently labeled tetrapeptide, HAEE-Cy5, for visualizing beta-amyloid plaques. …”
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Shape Penalized Decision Forests for Imbalanced Data Classification by Rahul Goswami, Aindrila Garai, Payel Sadhukhan, Palash Ghosh, Tanujit Chakraborty

“…The proposed approach enhances predictive performance and generalization by leveraging ensemble learning strategies such as bagging and adaptive boosting. We evaluate the method on twenty benchmark tabular imbalanced datasets, spanning diverse sample sizes and imbalance ratios, and demonstrate its superiority over several state-of-the-art data-level and algorithmic-level methods. …”
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Fusing feature consistency across views for multi-view stereo by Rong Zhao, Caiqin Jia, Xindong Guo, Xiaowen Yang, Huiyan Han, Xie Han

“…Compared to other state-of-the-art methods, our method also shows better generalization ability on the ETH3D dataset.…”
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Comparison the Effect of Kermanshahi Massage with and without Plastic Masking (Shrink Therapy) on Symptoms of the Trigger Points in the Upper Trapezius Muscle by Kamran Mahlooji, Mahsima Abdoli, Fataneh Hashem-Dabaghian

“… The Kermanshahi method of massaging (KM) has been conducted traditionally by this family for many years. …”
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Midline lumbar fusion using cortical bone trajectory screws. Preliminary report by Mateusz Bielecki, Przemysław Kunert, Marek Prokopienko, Arkadiusz Nowak, Tomasz Czernicki, Andrzej Marchel

“…Introduction : Midline lumbar fusion (MIDLF) using cortical bone trajectory is an alternative method of transpedicular spinal fusion for degenerative disease. …”
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Harnessing self-supervised learning to boost malicious traffic detection with enhanced attention by SUN Jianwen, ZHANG Bin, LI Hongyu, CHANG Heyu

“…The existing deep learning-based malicious traffic detection methods generally suffered from three main problems: labeled sample scarcity, inadequate representation of malicious behavior traffic features, and a high false positive rate due to ineffective integration of behavioral association patterns during detection. …”
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Gingival crevicular glucose estimation and patient’s perception of pain during routine dental examination - a concept based on a novel patented periodontal device by AlQahtani Nabeeh Abdullah, Khader Mohasin Abdul, Javali Mukhatar Ahmed

“…Therefore, correlation of blood glucose between the conventional finger-prick blood glucose (FPBG) and gingival crevicular blood glucose (GCBG) method, along with estimation of patient's pain perception by visual analogue scale (VAS). …”
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ACTIVITY OF THE LANDSLIDE ZONES OF THE STAVROPOL UPLAND by V. V. Razumov, K. S. Viskhadzhieva, N. V. Razumova, A. V. Skripchinskiy

“…Cartographic method was also used to visualize the landslide zones distribution in the study area. …”
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TMFN: a text-based multimodal fusion network with multi-scale feature extraction and unsupervised contrastive learning for multimodal sentiment analysis by Junsong Fu, Youjia Fu, Huixia Xue, Zihao Xu

“…Abstract Multimodal sentiment analysis (MSA) is crucial in human-computer interaction. Current methods use simple sub-models for feature extraction, neglecting multi-scale features and the complexity of emotions. …”
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Research on injection molded parts defect detection algorithm based on multiplicative feature fusion and improved attention mechanism by Rongnan Zhang, Yang Li, Zhiguang Guan

“…However, traditional defect detection methods for these parts often rely on manual visual inspection, which is inefficient, expensive, and prone to errors. …”
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Breast Cancer Classification With Enhanced Interpretability: DALAResNet50 and DT Grad-CAM by Suxing Liu, Galib Muhammad Shahriar Himel, Jiahao Wang

“…Furthermore, the proposed Dynamic Threshold Grad-CAM (DT Grad-CAM) method provides clearer and more focused visualizations, enhancing interpretability and assisting medical experts in identifying key features.…”
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An automatic approach to detect skin cancer utilizing active infrared thermography by Ricardo F. Soto, Sebastián E. Godoy

“…Active thermography has emerged as an effective method to distinguish between malignant and benign lesions. …”
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On the Question of the Place and Role of Language in the Process of Personality Socialization: Structural-Ontological Sketch by Віталій Шимко

“…This method involves the construction of special visual-graphic matrices that reflect the interaction of the primary process and the material of the studied system. …”
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The role of personalization in influencing digital trust and impulse buying in e-commerce by David R. Hayrapetyan, Syuzi H. Darbinyan

“…The study involved 140 digital consumers (including 100 women) aged 20 to 40 years (mean age 28 years). Methods. The study implemented a survey method using a structured online questionnaire distributed using a simple random sampling method. …”
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Leveraging deep learning for the detection of socially desirable tendencies in personnel selection: A proof-of-concept. by Tony C Lee, Matthias Ziegler

“…We propose a deep learning-based method for detecting Socially Desirable Responding (SDR)-the tendency for individuals to distort questionnaire responses to present themselves in a favorable light. …”
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Parallel VMamba and Attention-Based Pneumonia Severity Prediction from CXRs: A Robust Model with Segmented Lung Replacement Augmentation by Bouthaina Slika, Fadi Dornaika, Karim Hammoudi

“…Early diagnosis plays a crucial role in preventing complications, necessitating the development of fast and efficient AI-based models for automated severity assessment. <b>Methods:</b> In this study, we introduce a novel approach that leverages VMamba, a state-of-the-art vision model based on the VisualStateSpace (VSS) framework and 2D-Selective-Scan (SS2D) spatial scanning, to enhance lung severity prediction. …”
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Reliability of conventional shade guides in teeth color determination by Todorović Ana, Todorović Aleksandar, Špadijer-Gostović Aleksandra, Lazić Vojkan, Miličić Biljana, Đurišić Slobodan

“…Color matching in prosthodontic therapy is a very important task because it influences the esthetic value of dental restorations. Visual shade matching represents the most frequently applied method in clinical practice. …”
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The effect of a learning strategy for mastery in learning the skills of Setting volleyball for female students by Sarah Qassim, Dr. Bushra Kadhum

“…-test) for independent samples, and I concluded that the strategy has proven its effectiveness in the skills of Setting  for students at a level greater than the traditional method, and the level of development of study variables and statistical significance in the experimental group is greater than the level of development and statistical significance in the control group, and the effectiveness of learning and development increases with the use of visual techniques And the video and the means of communication because it provides a great scope for review, knowledge of mistakes and their return and reinforces the feedback to them, and recommended the necessity of using the learning strategy in order to master in other skills that require more complex skill capabilities such as spiking, blocking and defending the playing field, and the need to increase the use of modern graphic and video means and techniques. …”
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Color image reversible data hiding based on adaptive capacity allocation and pixel value similarity distance sorting by Ningxiong Mao, Chunping Ouyang, Yaping Wan, Lingfeng Qu, Yuan Yuan

“…It enhances pixel sequence smoothness, thereby improving the accuracy of the PVO prediction method. Experimental results demonstrate that the stego-images generated by the proposed scheme exhibit significantly superior visual quality compared to those from other state-of-the-art schemes. …”
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