COSMICA: A Novel Dataset for Astronomical Object Detection with Evaluation Across Diverse Detection Architectures by Evgenii Piratinskii, Irina Rabaev

“…COSMICA enables the development and evaluation of real-time object detection systems intended for practical deployment in observational pipelines. …”
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Current Updates on Molecular Diagnostic Assays Used for Detection of <i>Candida auris</i>: A Systematic Review by River Chun-Wai Wong, Alfred Lok-Hang Lee, Ingrid Yu-Ying Cheung, Viola Chi-Ying Chow, Margaret Ip, Christopher Koon-Chi Lai

“…Currently, there is no systematic review explicitly focusing on the up-to-date molecular diagnostics of this pathogen to cover the entire process, including sample pre-extraction procedures, nucleic acid extraction, and DNA-based detection. Sample pre-treatment and extraction are the prerequisites before molecular testing and have implications on the downstream detection but have not been reviewed elsewhere. …”
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Deep Learning for Early Earthquake Detection: Application of Convolutional Neural Networks for P-Wave Detection by Dauren Zhexebay, Alisher Skabylov, Margulan Ibraimov, Serik Khokhlov, Aldiyar Agishev, Gulnur Kudaibergenova, Aibala Orazakova, Almansur Agishev

“…Early detection of earthquakes is essential for minimizing potential damage and ensuring public safety. …”
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Fast Ways to Detect Outliers by Emad Obaid Merza, Nashaat Jasim Mohammed

“…In this research, we aim to develop easy methods for detecting outliers in big data, as the problem that this research addresses is that many of the newly developed methods for detecting outliers suffer from computational complexity or are efficient when the sample size is small. …”
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Enzymatic mutation detection technologies by Anthony T. Yeung, Deepali Hattangadi, Lauryn Blakesley, Emmanuelle Nicolas

“…One enzymatic approach in particular, using orthologs of the CEL I nuclease that show high specificity for all mismatches, appears to be easy and robust. Further developments of this and other methods will allow mutation detection to become an integral component of individualized medicine.…”
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Hypermodularity and community detection in hypergraphs by Charo I. del Genio

“…While much effort has been devoted to developing methods for community detection in traditional networks, the study of community structure in networks with higher-order interactions is still not as extensively explored. …”
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Ringworm Detection and Diagnosis System. by Asiimwe, Joab, Barigye, Deus Dedet

“…We carried out our research within a period of seven months and our system performed the desired work. We developed a ringworm detection and diagnosis system that offers rapid and accurate results for early intervention and treatment. …”
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Detection of Deaths Caused by Hyperkalemia by Małgorzata Żulicka, Kamila Sobczak, Dominik Kowalczyk, Sylwia Sikorska, Wioletta Arendt, Marta Hałas-Wiśniewska

“…Furthermore, most potassium ion concentration tests developed in recent years are non-specific, have limitations, or are based on outdated techniques. …”
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Development of an In-Line Vision-Based Measurement System for Shape and Size Calculation of Cross-Cutting Boards—Straightening Process Case by Shitao Ge, Wei Zhang, Licheng Han, Yan Peng, Jianliang Sun

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Research Progress of Phospholipid Vesicles in Biological Field by Na Zhang, Jie Song, Yuchun Han

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A SAM-Based Detection Method for the Distance Between Air-Craft Fire Detection Lines by Mo Chen, Sheng Cheng, Yan Liu, Qifan Yin, Hongfu Zuo

“…In this method, we develop a general model for aircraft parts image segmentation and detection, named the Aircraft Segment Anything Model (ASAM). …”
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Detection and Localization of Stationary Waves on Venus Using a Self‐Supervised Anomaly Detection Model by Husnu Baris Baydargil, Jose Eduardo Oliveira Silva, Yeon Joo Lee, Meeyoung Cha

“…However, manual detection is time‐consuming, especially with the increasing volume of new images. …”
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Intrusion Detection Based on Sequential Information Preserving Log Embedding Methods and Anomaly Detection Algorithms by Czangyeob Kim, Myeongjun Jang, Seungwan Seo, Kyeongchan Park, Pilsung Kang

“…To achieve this, various security techniques based on machine learning have been developed recently. Among these, anomaly detection algorithms, which are trained in unsupervised fashion, are capable of reducing efforts of security experts and securing labeled dataset through post analysis. …”
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HSF-DETR: Hyper Scale Fusion Detection Transformer for Multi-Perspective UAV Object Detection by Yi Mao, Haowei Zhang, Rui Li, Feng Zhu, Rui Sun, Pingping Ji

“…First, we design a hybrid progressive fusion network (HPFNet) as the backbone, which adaptively modulates receptive fields to capture multi-scale information while preserving fine-grained details critical for small object detection. Second, building upon features extracted by HPFNet, we develop MultiScaleNet, which enhances feature representation through dual-layer optimization and cross-domain feature learning, significantly improving the model’s capability to handle complex aerial scenarios with diverse object orientations. …”
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Cloning and Functional Analysis of Skin Host Defense Peptides from Yakushima Tago’s Brown Frog (<i>Rana tagoi yakushimensis</i>) and Development of Serum Endotoxin Detection System by Taichi Aono, Saki Tamura, Yua Suzuki, Taichi Imanara, Ryosei Niwa, Yoshie Yamane, Tetsuya Kobayashi, Sakae Kikuyama, Itaru Hasunuma, Shawichi Iwamuro

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Development and validation of a hierarchical machine learning method using MALDI-TOF mass spectrometry for rapid SCCmec typing and PVL detection in MRSA: a multi-centre study by Tai-Han Lin, Ming-Jr Jian, Fujiko Mitsumoto-Kaseida, Norihito Kaku, Hsing-Yi Chung, Chih-Kai Chang, Cherng-Lih Perng, Yung-Chih Wang, Chih-Chien Wang, Yuan-Hao Chen, Katsunori Yanagihara, Hung-Sheng Shang

“…Objectives Methicillin-resistant Staphylococcus aureus (MRSA) is a major public health concern because of its genotypic diversity and association with severe infections, particularly those caused by strains carrying Panton–Valentine leukocidin (PVL). This study aimed to develop an artificial intelligence-clinical decision support system (AI-CDSS) to streamline MRSA genotyping and PVL detection, providing a more efficient alternative to complex PCR-based workflows.Methods We retrospectively analysed 345,748 bacterial specimens collected from five healthcare institutions between 2010 and 2024. …”
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Performance of rapid antigen tests to detect SARS-CoV-2 variant diversity and correlation with viral culture positivity: implication for diagnostic development and future public health strategies by Heather Goux, Jennetta Green, Andrew Wilson, Shanmuga Sozhamannan, Stephanie A. Richard, Rhonda Colombo, David A. Lindholm, Milissa U. Jones, Brian K. Agan, Derek Larson, David L. Saunders, Rupal Mody, Jason Cox, Robert Deans, Joseph Walish, Anthony Fries, Mark P. Simons, Simon D. Pollett, Darci R. Smith

“…The apparent trade-off between sensitivity in the detection of any PCR-positive infection and concordance with infectious virus positivity may also inform new RDT diagnostic development strategies for SARS-CoV-2 and other epidemic respiratory pathogens.IMPORTANCEDespite the availability of vaccines, COVID-19 continues to be a major health concern, and antigen-based rapid diagnostic tests (Ag-RDTs) are commonly used as point-of-care or at-home diagnostic tests. …”
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Development of a Clinically Applicable Deep Learning System Based on Sparse Training Data to Accurately Detect Acute Intracranial Hemorrhage from Non-enhanced Head Computed Tomography by Huan-Chih WANG, Shao-Chung WANG, Furen XIAO, Ue-Cheung HO, Chiao-Hua LEE, Jiun-Lin YAN, Ya-Fang CHEN, Li-Wei KO

“…Non-enhanced head computed tomography is widely used for patients presenting with head trauma or stroke, given acute intracranial hemorrhage significantly influences clinical decision-making. This study aimed to develop a deep learning algorithm, referred to as DeepCT, to detect acute intracranial hemorrhage on non-enhanced head computed tomography images and evaluate its clinical applicability. …”
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Development of a Captiva EMR-lipid clean-up and LC-MS/MS methodology for detecting H2 receptor antagonists in functional foods and food-medicine homology materials by Guodong Shan, Xiuqin Fan, Qingcheng Wang, Li Zhang, Lijun Ge, Weibo Lu, Jing Xue, Kang Chen, Zejun Wang, Qing Shen

“…In this study, an analytical method that integrates Captiva EMR-Lipid (CEL) solid-phase extraction (SPE) with liquid chromatography tandem mass spectrometry (LC-MS/MS) has been developed for the detection of H2RAs (nizatidine, famotidine, cimetidine, ranitidine, and lafutidine) in these products. …”
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Development of an enzyme-linked immunosorbent assay for the efficient detection of autoantibodies against nuclear valosin-containing protein-like protein (NVL) 2 using its manipulated cDNA by Mariko Ogawa-Momohara, Yoshinao Muro, Masashi Akiyama, Yasuhiro Kondoh, Yasuhiko Yamano, Yuta Yamashita, Haruka Koizumi, Satoshi Kamiya, Norika Akashi, Takuya Takeichi

“…Anti-NVL2 antibodies were detected in 17.0% of homogeneous nucleolar (AC-8) patterns in IIF. …”
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