Vulnerable plaques and lipid changes over statin therapy in patients with acute coronary syndrome. Initial data from the Combi-LLT ACS trial by G. R. Bikbaeva, A. N. Kovalskaya, K. V. Kuznetsova, P. D. Duplyakova, A. A. Tukhbatova, E. M. Sukhinina, T. V. Pavlova, D. V. Duplyakov, E. V. Savinova

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Evaluating the effectiveness of participatory science dog teams to detect devitalized Spotted Lanternfly (Lycorma delicatula) egg masses by Sally Dickinson, Mizuho Nita, Edgar O. Aviles-Rosa, Nathan Hall, Erica N. Feuerbacher

“…The spotted lanternfly (Lycorma delicatula, SLF) is an invasive planthopper first detected in the United States in 2014, with initial sightings in Pennsylvania. …”
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Application of VUV/Sulfite Defluorination System for the Simple Detection of Perfluoroalkyl Substances by Shiyong Tao, Yilin Chen, Xiao Mei, Luyao Jin, Feng Wu, Jing Xu

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Recognition of Handwritten Characters in Birch-Bark Manuscripts via Object Detection by Ivan P. Malashin, Vadim S. Tynchenko, Andrei P. Gantimurov, Vladimir A. Nelyub, Aleksei S. Borodulin

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Active learning for deep object detection by fully exploiting unlabeled data by Feixiang Tan, Guansheng Zheng

“…Experimental results on commonly used object detection datasets demonstrate the effectiveness of our approach, outperforming state-of-the-art methods.…”
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Exploring LLM Embedding Potential for Dementia Detection Using Audio Transcripts by Brandon Alejandro Llaca-Sánchez, Luis Roberto García-Noguez, Marco Antonio Aceves-Fernández, Andras Takacs, Saúl Tovar-Arriaga

“…Contrary to initial expectations—that richer semantic and contextual embeddings would substantially outperform simpler frequency-based methods—the competitive accuracy of Tf–Idf suggests that the choice and frequency of the words used might be more important than semantic or contextual information in Alzheimer’s detection. …”
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Distribution and prevalence of Baylisascaris in domestic dogs in the United States and Canada, 2017–2023 by Håkon Jones, Pablo D. Jimenez Castro, Wade Burton, Caroline Sobotyk, Guilherme G. Verocai, Yoko Nagamori, Zephran Warren, Antoinette Marsh, Cassan Pulaski, Heather S.D. Walden, Ashley M. Mitchell, Brian H. Herrin, Jeba R.J. Jesudoss Chelladurai, Michael J. Yabsley

“…In a previous study in the United States (US) from 2013 to 2016, 0.005 % of ∼9.5 million canine fecal samples from the United States (US) were positive for Baylisascaris. …”
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Detection of weak multi-target with adjacent frequency based on chaotic system by Dawei Chen, Shuo Shi, Xuemai Gu, Byonghyo Shim, Qianyao Ren

“…In order to enhance the robustness to narrow-band noise, the Melnikov method is used to analyze the Duffing difference system. To realize the detection of weak multi-target with adjacent frequency, we proposed the detection system using the rule named general critical state. …”
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Implementation for Lightweight Deep Learning for Anomaly Detection and Denoising on Gravitational Waves by R. K. Mohith Niranjen, C. Yogesh, Anirudh Vinodh, Tharun Sureshkumar, S. Vatchala

“…Our study demonstrates the development of state-of-the-art deep learning methods to surmount the specific obstacles concerning gravitational wave detection, paving the way for real-time processing of astrophysical data and an improved understanding of the Universe.…”
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From the Lab to the Court: Laboratory Techniques in Doping Detection and Their Legal Challenges by Esmaeil Babanezhad, Milad Chahardori, Mohamadsadegh Amirkhanloo, Fatemeh Shaki

“…This article aims to explore the types of doping substances, their analytical detection methods, and the associated legal challenges. …”
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Violence Detection From Industrial Surveillance Videos Using Deep Learning by Hamza Khan, Xiaohong Yuan, Letu Qingge, Kaushik Roy

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Advanced machine learning techniques for social support detection on social media by Olga Kolesnikova, Moein Shahiki Tash, Zahra Ahani, Ameeta Agrawal, Raúl Monroy, Grigori Sidorov

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Trust Domain Extensions Guest Fuzzing Framework for Security Vulnerability Detection by Eran Dahan, Itzhak Aviv, Michael Kiperberg

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Beyond Detection: A Framework for Transforming Accessibility Evaluations into Implementable Fixes by Paula Palomino, André Araújo, Alenilton Silva, Rafael Araújo, Diego Dermeval, Grace Lis Porto, Sofia Simanke, Thiago Cordeiro, Rodrigo Lisboa

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A Refined and Efficient CNN Algorithm for Remote Sensing Object Detection by Bingqi Liu, Peijun Mo, Shengzhe Wang, Yuyong Cui, Zhongjian Wu

“…Extensive experiments conducted on two large-scale remote sensing datasets, DOTA-v1.0 and SCERL, demonstrate that the proposed RE-YOLO outperforms state-of-the-art other object-detection approaches and exhibits a significant improvement in generalization ability.…”
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Infrared Tiny Structureless Object Detection Enhanced by Video Super-Resolution by Duixu Mao, Xiaxu Chen, Linhan Xu, Jun Ke

“…Subsequently, it employs restricted receptive field convolution and multi-receptive field feature fusion to enhance the detection accuracy of small targets. Experimental results on the SIATD data set show that our method performs better state-of-the-art approaches, with an F1 score of 0.957, precision of 99.2%, and recall of 92.4%. …”
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Research on Lightweight Method of Insulator Target Detection Based on Improved SSD by Bing Zeng, Yu Zhou, Dilin He, Zhihao Zhou, Shitao Hao, Kexin Yi, Zhilong Li, Wenhua Zhang, Yunmin Xie

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Conceptualisation and design of a protocol for a novel social drivers and primary care screening tool in paediatric orthopaedics: a quality improvement initiative by Devika A Shenoy, Kathryn Radulovacki, Christian Zirbes, Rachelle Shao, Giussepe Yanez, Anthony A Catanzano

“…An institutional SDOH screen detects financial, food, transportation, housing and utility needs. …”
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A suggested algorithm for detection of multi drug-resistant tuberculosis in Zimbabwe by Beauty Makamure, Salome Makumbirofa, Tsitsi Bandason, Paul Leccese, Reggie Mutetwa, Val Robertson, Peter Mason

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Early Fault-Tolerant Quantum Algorithms in Practice: Application to Ground-State Energy Estimation by Oriel Kiss, Utkarsh Azad, Borja Requena, Alessandro Roggero, David Wakeham, Juan Miguel Arrazola

“…Additionally, we provide quantitative resource estimates, demonstrating a constant factor improvement in the number of samples required to detect a specified change in CDF. Our numerical experiments, conducted on a 26-qubit fully connected Heisenberg model, leverage a truncated density-matrix renormalization group (DMRG) initial state with a low bond dimension. …”
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