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1. SCStory: Self-supervised and Continual Online Story Discovery

   https://doi.org/10.1145/3543507.3583507  

   Yoon, Susik; Meng, Yu; Lee, Dongha; Han, Jiawei (April 2023, ACM)

   Proc. 2023 The Web Conf. (Ed.)

   We present a framework SCStory for online story discovery, that helps people digest rapidly published news article streams in realtime without human annotations. To organize news article streams into stories, existing approaches directly encode the articles and cluster them based on representation similarity. However, these methods yield noisy and inaccurate story discovery results because the generic article embeddings do not effectively reflect the storyindicative semantics in an article and cannot adapt to the rapidly evolving news article streams. SCStory employs self-supervised and continual learning with a novel idea of story-indicative adaptive modeling of news article streams. With a lightweight hierarchical embedding module that first learns sentence representations and then article representations, SCStory identifies story-relevant information of news articles and uses them to discover stories. The embedding module is continuously updated to adapt to evolving news streams with a contrastive learning objective, backed up by two unique techniques, confidence-aware memory replay and prioritized-augmentation, employed for label absence and data scarcity problems. Thorough experiments on real and the latest news data sets demonstrate that SCStory outperforms existing state-of-the-art algorithms for unsupervised online story discovery. 

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2. Architecture, Classification, and Applications of Contemporary Unmanned Aerial Vehicles

   https://doi.org/10.1109/MCE.2021.3063945  

   Alghamdi, Yousef; Munir, Arslan; La, Hung Manh (March 2021, IEEE Consumer Electronics Magazine)

   null (Ed.)

   Unmanned aerial vehicles (UAV) have been gaining significant attention in recent times as they are becoming increasingly accessible and easier to use. The advancements in flight controller technology have enabled users to fly a recreational UAV without any previous flight experience. UAVs are used in a variety of applications, ranging from civilian tasks, law enforcement, and rescue applications, to military reconnaissance and air strike missions. This article serves as an introduction to UAV systems' architecture, classification, and applications to help researchers and practitioners starting in this field get adequate information to understand the current state of UAV technologies. The article starts by inspecting the UAVs' body configuration styles and explains the physical components and sensors that are necessary to operate and fly a UAV system. The article also provides a comparison of several components for state-of-the-art UAVs. The article further discusses different propulsion methods and various payloads that could be mounted on the UAV. The article then explores the classification of UAVs followed by the application of UAVs in different domains, such as recreational, commercial, and military. Finally, the article provides a discussion of futuristic technologies and applications of UAVs along with their associated challenges. 

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3. Cannot Predict Comment Volume of a News Article before (a few) Users Read It

   Lihong He, Chen Shen (January 2021, Proceedings of the International AAAI Conference on Weblogs and Social Media)

   null (Ed.)

   Many news outlets allow users to contribute comments on topics about daily world events. News articles are the seeds that spring users' interest to contribute content, i.e., comments. An article may attract an apathetic user engagement (several tens of comments) or a spontaneous fervent user engagement (thousands of comments). In this paper, we study the problem of predicting the total number of user comments a news article will receive. Our main insight is that the early dynamics of user comments contribute the most to an accurate prediction, while news article specific factors have surprisingly little influence. This appears to be an interesting and understudied phenomenon: collective social behavior at a news outlet shapes user response and may even downplay the content of an article. We compile and analyze a large number of features, both old and novel from literature. The features span a broad spectrum of facets including news article and comment contents, temporal dynamics, sentiment/linguistic features, and user behaviors. We show that the early arrival rate of comments is the best indicator of the eventual number of comments. We conduct an in-depth analysis of this feature across several dimensions, such as news outlets and news article categories. We show that the relationship between the early rate and the final number of comments as well as the prediction accuracy vary considerably across news outlets and news article categories (e.g., politics, sports, or health). 

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4. benhills/effmed-ice: Release for Reviews of Geophysics

   https://doi.org/10.5281/zenodo.12775526  

   Hills, Ben (January 2025, Zenodo)

   Some notation changes to go with the community notation decided in the review article. Some Jupyter notebooks to reproduce figures in the article. 

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5. An introduction to Weinstein handlebodies for complements of smoothed toric divisors.

   https://doi.org/10.1007/978-3-030-80979-9_4  

   Acu, Bahar; Capovilla-Searle, Orsola; Gadbled, Agnes; Marinkovic, Aleksandra; Murphy, Emmy; Starkston, Laura (January 2021, Association for Women in Mathematics series)

   Acu, Bahar; Cannizzo, Catherine; McDuff, Dusa; Myer, Ziva; Traynor, Lisa; Pan, Yu (Ed.)

   In this article, we provide an introduction to an algorithm for constructing Weinstein handlebodies for complements of certain smoothed toric divisors using explicit coordinates and a simple example. This article also serves to welcome newcomers to Weinstein handlebody diagrams and Weinstein Kirby calculus. Finally, we include several complicated examples at the end of the article to showcase the algorithm and the types of Weinstein Kirby diagrams it produces. 

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