Teachers’ barriers in implementing the revised curriculum for deaf learners: The case of two special schools in Northern Namibia by Isidor Haufiku, Hilya Tulipomwene Shuulinawa Nghitoolwa, James Abah

“…Participants were selected using the total population sampling method and data were collected using a questionnaire and focus group discussion. …”
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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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Unsupervised Domain Adaptation for SAR Ship Detection Based on Multitask Decoupling by Yirong Yang, Xi Yang, Dong Yang

“…Facing the challenge, we propose an unsupervised domain adaptation method for SAR ship detection based on multitask decoupling, which leverages data annotated with optical images instead of SAR annotations. …”
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Investigating pea (Pisum sativum L.) flowering with high throughput field phenotyping and object detection by Corina Oppliger, Radek Zenkl, Achim Walter, Beat Keller

“…To observe flowering dynamics under field conditions, visual ratings have been a standard method for decades. …”
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Sensitive and specific peak detection for SELDI-TOF mass spectrometry using a wavelet/neural-network based approach. by Vincent A Emanuele, Gitika Panicker, Brian M Gurbaxani, Jin-Mann S Lin, Elizabeth R Unger

“…The method shows promise in addressing the ongoing SELDI reproducibility issues.…”
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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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Three-Dimensional Weld Pool Monitoring and Penetration State Recognition for Variable-Gap Keyhole Tungsten Inert Gas Welding Based on Stereo Vision by Zishun Wang, Yonghua Shi, Yanxin Cui, Wenqian Yan

“…Compared to arc voltage sensing and acoustic signal sensing, visual sensing is a method capable of obtaining the three-dimensional geometric features of the weld pool. …”
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Evaluation of Translation Rate Through L-azidohomoalanine (AHA) Incorporation and Subsequent Alkyne Fluorophore–Mediated Click Chemistry in Yeast by Mainak Jha, Koyeli Mapa

“…Accurate measurement of protein translation rates is crucial for understanding cellular processes and disease mechanisms. However, existing methods for quantifying translation rates in yeast cells are limited. …”
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Numerical statistical analysis on self-organizing behavior of microfracturing events in rock failure by Houquan Zhang, Hao Shi, Yu Wu, Hai Pu

“…Through the analysis of the frequency and size of damaged element groups by rescaled range analysis method, the time series of microfracturing events exhibits the self-similar scale-invariant properties. …”
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Interpretable Dual-Channel Convolutional Neural Networks for Lithology Identification Based on Multisource Remote Sensing Data by Sijian Wu, Yue Liu

“…SHAP, as an interpretable method, was subsequently used to visualize the value and tendency of feature contribution. …”
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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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Interpretable capsule networks via self attention routing on spatially invariant feature surfaces by Peizhang Li, Jiyuan Ru, Qing Fei, Zhen Chen, Bo Wang

“…Furthermore, comparative analyses with existing visual interpretability method underscore the enhanced interpretability of SISA-CapsNet.…”
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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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Radiological Coronavirus Disease 2019 Findings in Chest Imaging Techniques: An Update of Current Evidence by Abdulrahman Mohammed Hakami, Mohammed Hassan Altubayqi, Tahani Hassan Altubayqi, Eman Adel Refaei, Maram Abdullah Sayegh, Alyaj A. Hakami, Matrah Ghazwani, Ahmed I. Sayed, Luai Alhazmi, Faisal Hassan Tobeigei

“…Moreover, according to recent studies, chest magnetic resonance imaging is a viable alternative to chest CT in visualizing typical features. In addition, positron emission tomography imaging has been used in a few investigations; however, due to its low sensitivity for diagnosing COVID-19 infection, it is not regarded as a first-line investigative method.…”
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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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Reconstructing higher-resolution four-dimensional time-varying volumetric data by Ji Ma, Jinjin Chen

“…The experimental results show that our method outperforms the compared state-of-the-art techniques.…”
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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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UAV High-Speed Target Reconnaissance and Deblurring by Zhaoqi Hou, Zhen Zheng, Yiqing Gu, Chuanhao Zhang, Haojie Li

“…To address the imaging blur issue in high-speed dynamic scenarios and enhance the visual quality of enemy target imagery, this study proposes a blurred image restoration method based on reconnaissance imaging models. …”
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