The Impact of Animated Videos on Student Awareness of Bullying by Baharuddin Condeng, Mohammad Novrian Hasanuddin, Azizah Saleh

“…This educational strategy not only improves knowledge but also engages students more effectively than traditional methods. The broader implications of this study suggest that incorporating such dynamic visual content into school curriculums or anti-bullying programs can play a critical role in mitigating bullying behavior. …”
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Enhancing Weibo Sentiment Analysis With Multi-Modal Learning: Integrating Text and Synthesized Images With Contrastive Learning by Chuyang Wang, Jessada Konpang, Adisorn Sirikham, Shasha Tian

“…Integrated with a self-supervised contrastive learning objective, this approach empowers our model to extract knowledge from unlabeled data and achieve enhanced comprehension of nuanced emotional cues. Our method enhances sentiment analysis on microblogs by introducing a framework that captures both text and synthesized visual cues, enabling deeper sentiment interpretation. …”
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An Enhanced Approach of Image Steganographic Using Discrete Shearlet Transform and Secret Sharing by Yasir Ahmed Hamza, Nada Elya Tewfiq, Mohammed Qasim Ahmed

“…In this paper, an enhanced method of image steganography combined with visual cryptography has been proposed. …”
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Mutation Screening of the CYP1B1 Gene Reveals Novel and Recurrent Pathogenic Variants in Pakistani Primary Congenital Glaucoma Patients by Waqas Ali Surhio, Feriha Fatima Khidri, Mohsin Iqbal Haroon, Samia Mehmood, Yar Muhammad Waryah

“…ARMS Assay method and the Sanger sequencing method were adopted to detect pathogenic variants. …”

LC oscillator frequency prediction using machine learning linear regression algorithm by Mandar Jatkar, Vasudeva G, Tripti R. Kulkarni, Roopa R. Kulkarni, Aneesh Pandurangi

“…Abstract The research demonstrates a new method for predicting LC circuit frequencies through linear regression techniques applied to standard resonance formula-derived log-transformed L and C values. …”
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An introduction to using metrics to assess the health and sustainability of library open source software projects by Jenn Colt

“…I demonstrate the use of cauldron.io as one method to gather and visualize the data for these metrics, and discuss the benefits and limitations of using them for decision-making.…”
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KEXNet: A Knowledge-Enhanced Model for Improved Chest X-Ray Lesion Detection by Quan Yan, Junwen Duan, Jianxin Wang

“…Automated diagnosis of chest X-rays is pivotal in radiology, aiming to alleviate the workload of radiologists. Traditional methods primarily rely on visual features or label dependence, which is a limitation in detecting nuanced or rare lesions. …”
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Recursive Class Connectivity Classification (R3C) Applied to Binary Image Segmentation for Improved Infant Fingerprint Enhancement by Joao Leonardo Harres Dall Agnol, Luiz Fernando Puttow Southier, Jefferson Tales Oliva, Marcelo Teixeira, Rodrigo Minetto, Marcelo Filipak, Dalcimar Casanova, Erick Oliveira Rodrigues

“…Experiments conducted on three fingerprint datasets using four different enhancement classifiers show that R3C can increase the True Acceptance Rate (TAR) by up to 4% for children and over 40% for newborns, compared to using the enhancement methods alone. A qualitative analysis further demonstrates that R3C reconnects fragmented ridge patterns, improving the visual quality of segmentation. …”
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Pre-Filtering SCADA Data for Enhanced Machine Learning-Based Multivariate Power Estimation in Wind Turbines by Bubin Wang, Bin Zhou, Denghao Zhu, Mingheng Zou, Haoxuan Luo

“…Therefore, developing efficient filtering methods is crucial to improving data quality and model performance. …”
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Implementasi Algoritma Support Vector Machine (SVM) Untuk Klasifikasi Penyakit Stroke by Danis Rifa Nurqotimah, Ahsanun Naseh Khudori, Risqy Siwi Pradini

“…Stroke carries a high risk of brain damage, paralysis, speech disorders, visual impairment, even death. Classification is one of a few methods in predicting stroke symptoms with the aim of obtaining accurate prediction of disease. …”
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Limited-angle x-ray nano-tomography with machine-learning enabled iterative reconstruction engine by Chonghang Zhao, Mingyuan Ge, Xiaogang Yang, Yong S. Chu, Hanfei Yan

“…We employ the Alternating Direction Method of Multipliers to optimize the solution in both physics and image domains, thereby achieving a physically coherent and visually enhanced result. …”
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GAUDI: interpretable multi-omics integration with UMAP embeddings and density-based clustering by Pol Castellano-Escuder, Derek K. Zachman, Kevin Han, Matthey D. Hirschey

“…Abstract Integrating high-dimensional cellular multi-omics data is crucial for understanding various layers of biological control. Single ‘omic methods provide important insights, but often fall short in handling the complex relationships between genes, proteins, metabolites and beyond. …”
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Quantitative PCR genotyping assay for the Ts65Dn mouse model of Down syndrome by Dong P. Liu, Cecilia Schmidt, Timothy Billings, Muriel T. Davisson

“…We report here a quantitative PCR method for genotyping Ts65Dn mice, as well as a phenotypic description for visually preclassifying mice to be genotyped.…”
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Elimination of background in film-based applications by Rachael M. Berry, Stefan Schmitz, Brian D. Johnson, Boguslawa Dworecki, Elizabeth A. Fritz, Kenneth A. Roebuck, Kimberly K. Hines

“…Nevertheless, autoradiography continues to be a simple, effective method to visualize data. Therefore, we evaluated the ability of Erase-It Working Solution to help solve background and resolution issues. …”
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Examining the role of night spaces in the crime of cities by modeling Prometheus (the case of Abadan City) by Elias Mavedat, Behzad Vasiq, Sodabeh Amiri

“…The present research has a developmental-applied nature and the research method is a combination of correlation and survey, and the data collection method is based on library methods, personal observations, and field survey. …”
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Non-end-to-end adaptive graph learning for multi-scale temporal traffic flow prediction. by Kang Xu, Bin Pan, MingXin Zhang, Xuan Zhang, XiaoYu Hou, JingXian Yu, ZhiZhu Lu, Xiao Zeng, QingQing Jia

“…Furthermore, the graph structure is dynamically updated using a weighted summation approach.Experiments demonstrate that the proposed method significantly improves prediction accuracy on the PeMSD4 and PeMSD8 datasets. …”
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Cost optimization on example of hotel-restaurant complex enterprises by Volkovska I.V.

“…It is also proposed to optimize costs using the simplex method to carry out a quantitative assessment of the quality of services by the qualimetric method. …”
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Application of intelligent translation system based on machine translation in English education curriculum reform by Shan Guo

“…Moreover, this paper proposes an improved local feature method, which considers the semantic relationship between local features and represents the local features as a distribution of compressed visual words. …”
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Supervised Paragraph Vector: Distributed Representations of Words, Documents and Class Labels by Eunjeong L. Park, Sungzoon Cho, Pilsung Kang

“…We also use principal component analysis to visualize all words, documents, and class labels at the same time and show that our method effectively displays the related words and documents for each class label. …”
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The Princeton Protein Orthology Database (P-POD): a comparative genomics analysis tool for biologists. by Sven Heinicke, Michael S Livstone, Charles Lu, Rose Oughtred, Fan Kang, Samuel V Angiuoli, Owen White, David Botstein, Kara Dolinski

“…Here we describe the Princeton Protein Orthology Database (P-POD, http://ortholog.princeton.edu), a user-friendly database system that allows users to find and visualize the phylogenetic relationships among predicted orthologs (based on the OrthoMCL method) to a query gene from any of eight eukaryotic organisms, and to see the orthologs in a wider evolutionary context (based on the Jaccard clustering method). …”
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