Presenting the detection algorithm of all types of vessels in the Persian Gulf region using radar images in order to improve the security of navigation by Ali Hanafi, Mehdi Keykhaee

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Artificial Intelligence (AI) Presentation Assistants: Current Trends, Experiences, and Future Directions for Language Pedagogy by Mahdi Pari

“…Drawing upon insights from recent research on AI literacy and usability, in this paper, I present a comprehensive overview of the current state of AI-driven presentation assistant technologies in language pedagogy. …”
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How GenAI-supported multi-modal presentations benefit students with different motivation levels: Evidence from digital storytelling performance, critical thinking awareness, and learning attitude by Hui-Chun Chu, Yi-Chun Lu, Yun-Fang Tu

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Examining Nasdaq Market Data and Presenting an Optimized Model by Extreme Gradient Boosting Regression and Artificial Bee Colony by Ali Ahmadpour

“…Stock price prediction is a critical task in the financial sector due to its profound implications for traders and investors. This paper presents a comparative analysis of machine learning models applied to stock price prediction using historical data from the Nasdaq stock index spanning the years 2015 to 2023. …”
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The dialogic presentation as a more compassionate approach by Laura Dyer

“…The dialogic presentation was presented clearly and efficiently through Pecha Kucha, highlighting the simplicity of the activity and its use in teaching and learning. …”
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Optical sorting: past, present and future by Meng Yang, Yuzhi Shi, Qinghua Song, Zeyong Wei, Xiong Dun, Zhiming Wang, Zhanshan Wang, Cheng-Wei Qiu, Hui Zhang, Xinbin Cheng

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Improving Presentation Attack Detection Classification Accuracy: Novel Approaches Incorporating Facial Expressions, Backdrops, and Data Augmentation by Tayyaba Riaz, Adeel Anjum, Madiha Haider Syed, Semeen Rehman

“…In the evolving landscape of biometric authentication, the integrity of face recognition systems against sophisticated presentation attacks (PAD) is paramount. This study set out to elevate the detection capabilities of PAD systems by ingeniously integrating a teacher–student learning framework with cutting-edge PAD methodologies. …”
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The urinary microbiome distinguishes symptomatic urinary tract infection from asymptomatic older adult patients presenting to the emergency department by Evan S. Bradley, Celina Stansky, Abigail L. Zeamer, Ziyuan Huang, Lindsey Cincotta, Abigail Lopes, Linda Potter, Theresa Fontes, Doyle V. Ward, Vanni Bucci, Beth A. McCormick, John P. Haran

“…Alpha and beta diversity did not significantly differ between asymptomatic and symptomatic patients. Machine learning classifiers combining clinical covariates other than specific signs and symptoms and microbiome features (taxa, metabolic pathways, or virulence factors) revealed mostly microbiome features as predictive of symptomatic UTI over clinical features.…”
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Intratumoral Heterogeneity Scores as Predictors of Invasiveness in Lung Adenocarcinoma Presenting as Pure Ground-Glass Nodules: Insights from Explainable Machine Learning-Based Ternary Classification Models by Wang Peng BS, Wanyin Qi BS, Yunhua Li BS, Sanhong Zhang BS, Juan Long BS

“…However, accurately classifying pure ground-glass nodules (pGGNs) presents significant challenges. The quantitative integration of intratumor heterogeneity (ITH) scores may enhance the accuracy of this ternary classification. …”
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LRMAHpan: a novel tool for multi-allelic HLA presentation prediction using Resnet-based and LSTM-based neural networks by Xue Mi, Shaohao Li, Zheng Ye, Zhu Dai, Bo Ding, Bo Sun, Yang Shen, Yang Shen, Zhongdang Xiao, Zhongdang Xiao

“…IntroductionThe identification of peptides eluted from HLA complexes by mass spectrometry (MS) can provide critical data for deep learning models of antigen presentation prediction and promote neoantigen vaccine design. …”
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Understanding the Past to Unpack the Present: Lessons from the Classroom by Kalyani Thurairajah

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Phenological Shifts in Lake Ice Cover Across the Northern Hemisphere: A Glimpse Into the Past, Present, and the Future of Lake Ice Phenology by A. Basu, J. Culpepper, K. Blagrave, S. Sharma

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Machine learning using genotype and gene-expression data identifies alterations of genes involved in infection susceptibility, antigen presentation and cytokine signalling as key contributors to JIA risk prediction by Nicholas Pudjihartono, Daniel Ho, Justin Martin O’Sullivan

“…Overall, our model highlighted the roles of genes involved in antigen presentation, infection susceptibility and cytokine signalling.Conclusion By applying a machine learning approach to rank SNP–gene–tissue contributions to JIA risk, our findings offer insights into the genetic mechanisms underlying JIA pathogenesis. …”
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The Present and Future of the TEI Community for Manuscript Encoding by Marjorie Burghart, Malte Rehbein

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Neoantigen prioritization based on antigen processing and presentation by Serina Tokita, Serina Tokita, Takayuki Kanaseki, Takayuki Kanaseki, Toshihiko Torigoe

“…Computational algorithms and machine learning methods have been developed to prioritize neoantigen candidates. …”
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The Past, Present, and Future of Public Health Surveillance by Bernard C. K. Choi

“…It is concluded that learning from the past, reflecting on the present, and planning for the future can further enhance public health surveillance.…”
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Prospects for the Development of the Present Stage of Higher School by I. I. Bobrova, E. G. Trofimov

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Past, Present and Future Perspectives of Forensic Genetics by Itzae Adonai Gutiérrez-Hurtado, Mayra Elizabeth García-Acéves, Yolanda Puga-Carrillo, Mariano Guardado-Estrada, Denisse Stephania Becerra-Loaiza, Víctor Daniel Carrillo-Rodríguez, Reynaldo Plazola-Zamora, Juliana Marisol Godínez-Rubí, Héctor Rangel-Villalobos, José Alonso Aguilar-Velázquez

“…Emerging trends point to a future shaped by the integration of cutting-edge technologies, including CRISPR-Cas systems, artificial intelligence, and machine learning, which promise to further revolutionize the field. …”
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Effective Oral Presentations: The Steps to Making an Impact on the Podium by Raviteja Innamuri, Sharad Philip, Jayant Mahadevan, Pratikchya Tulachan, Naga VSS Gorthi, Amit Singh, Guru S Gowda, Harita Mathur, Rajesh Shrestha, Shreeram Upadhyaya, Lochana NP Samarasinghe, Rajitha D Marcellin, Samindi T Samarawickrama, Shanali I Mallawaarachchi, Yasodha M Rohanachandra

“…This invariably affects young researchers who are seeking to build confidence through these presentations. The authors examined the relevant literature sources for recommendations and guidelines to prepare an effective oral presentation and have added insights and learnings gleaned during the “Early Career Psychiatrist Leadership and Professional Skills Workshop.” …”
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A Poster Experience: From Idea to Presentation. by Will Hires

“…Details about the making of the poster up to and including the final presentation serve to capture the experience and share information about the lessons learned during the process. …”
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