A Catalog of Local Universe Fast Radio Bursts from CHIME/FRB and the KKO by The CHIME/FRB Collaboration, Mandana Amiri, Daniel Amouyal, Bridget C. Andersen, Shion Andrew, Kevin Bandura, Mohit Bhardwaj, P. J. Boyle, Charanjot Brar, Alyssa Cassity, Shami Chatterjee, Alice P. Curtin, Matt Dobbs, Fengqiu Adam Dong, Yuxin Dong, Gwendolyn M. Eadie, Tarraneh Eftekhari, Wen-fai Fong, Emmanuel Fonseca, B. M. Gaensler, Mark Halpern, Jason W. T. Hessels, Hans Hopkins, Adaeze L. Ibik, Ronniy C. Joseph, Jane Kaczmarek, Lordrick Kahinga, Victoria Kaspi, Kholoud Khairy, Charles D. Kilpatrick, Adam E. Lanman, Mattias Lazda, Calvin Leung, Robert Main, Lluis Mas-Ribas, Kiyoshi W. Masui, Ryan Mckinven, Juan Mena-Parra, Bradley W. Meyers, Daniele Michilli, Nikola Milutinovic, Kenzie Nimmo, Gavin Noble, Ayush Pandhi, Swarali Shivraj Patil, Aaron B. Pearlman, Emily Petroff, Ziggy Pleunis, J. Xavier Prochaska, Masoud Rafiei-Ravandi, Mubdi Rahman, Andre Renard, Mawson W. Sammons, Ketan R. Sand, Paul Scholz, Vishwangi Shah, Kaitlyn Shin, Seth R. Siegel, Sunil Simha, Kendrick Smith, Ingrid Stairs, Keith Vanderlinde, Haochen Wang, Dallas Wulf, Tarik J. Zegmott

“…Of the 81 localized bursts, we use the probabilistic association of transients to their hosts algorithm to securely identify 21 new FRB host galaxies, and compile spectroscopic redshifts for 19 systems, 15 of which are newly obtained via spectroscopic observations. …”
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Using reinforcement learning in genome assembly: in-depth analysis of a Q-learning assembler by Kleber Padovani, Rafael Cabral Borges, Roberto Xavier, André Carlos Carvalho, Anna Reali, Annie Chateau, Ronnie Alves, Ronnie Alves

“…We expand upon the previous approach found in the literature to solve this problem by carefully exploring the learning aspects of the proposed intelligent agent, which uses the Q-learning algorithm. We improved the reward system and optimized the exploration of the state space based on pruning and in collaboration with evolutionary computing (>300% improvement). …”
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TCN–Transformer Spatio-Temporal Feature Decoupling and Dynamic Kernel Density Estimation for Gas Concentration Fluctuation Warning by Yanping Wang, Longcheng Zhang, Zhenguo Yan, Jun Deng, Yuxin Huang, Zhixin Qin, Yuqi Cao, Yiyang Wang

“…A flood optimization algorithm (FLA) is used to establish a hyperparameter collaborative optimization framework. …”
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Sistem Pakar Penentuan Penggunaan Bahan Tambahan Pangan untuk Produk Pangan by Melva Linda Aritonang, Kudang Boro Seminar, Nugraha Edhi Suyatma, Irman Hermadi

“…The method used is a decision tree with C5.0 algorithm to classify types of food categories with parameters in the form of basic ingredients and ways of processing food products. …”
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Prediction of 1-year post-operative mortality in elderly patients with fragility hip fractures in China: evaluation of risk prediction models by Qiyuan Lu, Mengmeng Chen, Houfu Ling

“…Holt et al.is more suitable for a well-resourced medical system. SHiPS displayed optimal risk categorization accuracy, suggesting potential for broader clinical implementation. …”
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Clinical and socioeconomic factors associated with recurrent atrial fibrillation after catheter ablation or antiarrhythmic drug therapy by Jaejin An, PhD, Nisha Bansal, MD, Chengyi Zheng, PhD, Ming-Sum Lee, MD, PhD, Rong Wei, MA, Teresa N. Harrison, SM, Dongjie Fan, MS, Elisha Garcia, MS, Benjamin Lidgard, MD, Leila R. Zelnick, PhD, Daniel E. Singer, MD, Alan S. Go, MD

“…Methods: We identified adults with incident AF from 2010 to 2017 who underwent catheter ablation or initiated AAD therapy from 2 U.S. healthcare systems and were followed through 2019. Using electronic health records and a validated natural language processing algorithm, we evaluated the 12-month cumulative incidence of recurrent AF and examined the associations between clinical and socioeconomic factors and AF recurrence using Fine-Gray subdistribution hazard models. …”
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Enhancing stroke-associated pneumonia prediction in ischemic stroke: An interpretable Bayesian network approach by Xingyu Liu, Jiali Mo, Zuting Liu, Yanqiu Ge, Tian Luo, Jie Kuang

“…A BN model was trained using a hill-climbing algorithm and compared to logistic regression, decision trees, deep neural networks, and existing risk-scoring systems. …”
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Holiday ride-hailing at intercity transfer hubs: Where space squeezes and time stretches by Zhuonan Jiang, Tianqi Gu, Zhuo Chen, Hua Liang, Jiao Jiao, Han Li

“…This study explores the spatiotemporal characteristics of ride-hailing services at intercity transfer hubs in Suzhou, China, examining ride-hailing trip patterns across different land use types, focusing on holidays and regular days. An algorithm is proposed to identify the ride-hailing trips to or from the intercity transfer hubs. …”
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Improved simulation of thunderstorm characteristics and polarimetric signatures with LIMA two-moment microphysics in AROME by C. David, C. Augros, B. Vié, F. Bouttier, T. Le Bastard

“…<p>Thunderstorm forecasting remains challenging despite advances in numerical weather prediction (NWP) systems. The microphysics scheme that represents clouds in the model partly contributes to the introduction of uncertainties in the simulations. …”
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A Clinical Case of Two-Stage Visual-Functional Rehabilitation of a Patient with Postinfectious Central Corneal Opacity in Combination with Mixed Astigmatism Using Laser Keratorefra... by N. V. Maychuk, I. A. Mushkova, M. R. Obraztsova

“…To achieve high visual-functional rehabilitation while preserving the native lens, a two-stage treatment algorithm was developed using technologies of laser corneal refractive surgery. …”
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Optimizing electric vehicle energy consumption prediction through machine learning and ensemble approaches by Izhar Hussain, Kok Boon Ching, Chessda Uttraphan, Kim Gaik Tay, Adeeb Noor, Sufyan Ali Memon

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A Two-Stage Deep Learning Method for Marine Oil Spill Localization and Segmentation From Synthetic Aperture Radar Images by Xudong Huang, Biao Zhang, William Perrie

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A novel double machine learning approach for detecting early breast cancer using advanced feature selection and dimensionality reduction techniques by Suganya Athisayamani, Tamilazhagan S, A. Robert Singh, Jae-Yong Hwang, Gyanendra Prasad Joshi

“…The second model pairs eXtreme Gradient Boosting (XGBoost), a highly efficient boosting algorithm for tabular data, with an Artificial Neural Network (ANN). …”
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Quantification and Evolution of Online Public Opinion Heat Considering Interactive Behavior and Emotional Conflict by Zhengyi Sun, Deyao Wang, Zhaohui Li

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Cost-effectiveness analysis of best management practices for non-point source pollution in watersheds: A review by CHANG Jian, YU Jie, WANG Fei’er, ZHENG Siyuan

“…Best management practices (BMPs), as an integrated system for pollution prevention and control, which combines both structural and non-structural measures, have been considered as one of the most effective solution for non-point source pollution. …”
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Application of Remote Sensing and GIS in Monitoring Forest Cover Changes in Vietnam Based on Natural Zoning by An Nguyen, Vasily Kovyazin, Cong Pham

“…Forest cover changes monitoring in Vietnam has been conducted using remote sensing (RS) and geographic information systems (GIS). Given Vietnam’s diverse climate, this study focused on the Thanh Hoa, Kon Tum, and Dong Nai provinces due to their distinct natural conditions and forest structures. …”
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Parametric design and multiple objective intelligent optimization of marine nuclear turbine aerothermodynamics under variable conditions by Lei Zhang, Guobing Chen, Yu-Ang Shi, LuoTao Xie

“…By combining the blade parameterized reconstruction method with a Kriging approximation model and a multi-objective genetic algorithm (GA), we developed an optimized system for thermodynamic performance in turbines. …”
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Screening for endometriosis: A scoping review of screening measures that could support early diagnosis by Brittany N. Rosenbloom, Tania Di Renna, Adriano Nella, Mathew Leonardi, Maggie Tiong, Seungmin Lee, Rachael Bosma

“…Study quality was assessed with a modified COSMIN framework and stoplight system in which the measurement properties of each Patient Reported Outcome Measure (PROM) were ranked and scored as positive (green), negative (red), or unknown (yellow). …”
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Beyond labels: determining the true type of blood gas samples in ICU patients through supervised machine learning by Johan Helleberg, Anna Sundelin, Johan Mårtensson, Olav Rooyackers, Ragnar Thobaben

“…Abstract Background In the Intensive Care Unit (ICU), data stored in patient data management systems (PDMS) is commonly used in clinical practice and research. …”
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Assessment of the Prevalence and Epidemic Spread of Strains of Ancient, and Modern Sublineages of the Mycobacterium tuberculosis Beijing Genotype in Omsk Region by O. A. Pasechnik, A. A. Vyazovaya, A. I. Bloch, I. V. Yarusova, M. P. Tatarintseva, I. V. Mokrousov

“…Following the generally accepted algorithm of descriptive and evaluation epidemiological research, the incidence, prevalence, and mortality from tuberculosis in the Omsk region for the period 2009-2019 were studied. …”
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