SmartScreen‐AIS: A High‐Throughput qPCR Chip for Nationwide Surveillance of Aquatic Invasive Species by John A. Kronenberger, Taylor M. Wilcox, Michael K. Schwartz

“…SmartScreen‐AIS has the potential to advance early detection of invasive species in the United States, and we hope our HT‐qPCR workflow inspires chip development and use globally.…”
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Pattern and Characteristics of Growth Faltering in Early Infancy in an Urban Sub-Saharan African Setting by Bolajoko O. Olusanya, James K. Renner

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Automatic training sample collection utilizing multi-source land cover products and time-series Sentinel-2 images by Yanzhao Wang, Yonghua Sun, Xuyue Cao, Yihan Wang, Wangkuan Zhang, Xinglu Cheng, Ruozeng Wang, Jinkun Zong

“…Secondly, a locally selective combination in parallel outlier ensembles (LSCP) anomaly detection algorithm was applied to filter abnormal samples. …”
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Enhancing Crack Segmentation Network with Multiple Selective Fusion Mechanisms by Yang Chen, Tao Yang, Shuai Dong, Like Wang, Bida Pei, Yunlong Wang

“…Automated crack detection is vital for structural maintenance in areas such as construction, roads, and bridges. …”
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AGW-YOLO-Based UAV Remote Sensing Approach for Monitoring Levee Cracks by HU Weibo, ZHOU Shaoliang, ZHAO Erfeng, ZHAO Xueqiang

“…Although deep learning technologies have made notable progress in enhancing detection automation, several challenges remain, including insufficient detection accuracy, poor adaptability, and a lack of precise localization capabilities. …”
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AI-driven early detection of severe influenza in Jiangsu, China: a deep learning model validated through the design of multi-center clinical trials and prospective real-world deplo... by Yifei Chen, Yan Bo

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Is it possible to encourage TB testing and detect missing TB cases via community-level promotion of a self-screening mobile application? Quasi-experimental evidence from South Afri... by Ronelle Burger, Matthias Rieger, Kate Rich, Deanne Goldberg, Harry Moultrie

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Automatic vein measurement by ultrasonography to prevent peripheral intravenous catheter failure for clinical practice using artificial intelligence: development and evaluation stu... by Hiromi Sanada, Toshiaki Takahashi, Gojiro Nakagami, Ryoko Murayama, Mari Abe-Doi, Masaru Matsumoto

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DERM-SUCCESS FDA Pivotal Study: A Multi-Reader Multi-Case Evaluation of Primary Care Physicians’ Skin Cancer Detection Using AI-Enabled Elastic Scattering Spectroscopy by Laura K. Ferris, Erik Jaklitsch, Elizabeth V. Seiverling, Thomas Agresta, Peggy Cyr, Laurie Caines, Na Wang, Daniel M. Siegel

“…The findings suggest the ESS device can improve PCP skin cancer detection and confidence in their skin lesion evaluation and management.…”
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Comparison between coronal FLASH and sagittal double echo steady state MRI in detecting longitudinal cartilage thickness change by fully automated segmentation – Data from the FNIH... by Felix Eckstein, Akshay S. Chaudhari, David J. Hunter, Wolfgang Wirth

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Excessive Supraventricular Ectopic Activity in Patients With Acute Ischemic Stroke Is Associated With Atrial Fibrillation Detection Within 24 Months After Stroke: A Predefined Anal... by Karl Georg Haeusler, Serdar Tütüncü, Cornelia Fiessler, Muhammad Jawad‐Ul‐Qamar, Claudia Kunze, Johannes Schurig, Joanna Dietzel, Michael Krämer, Gabor C. Petzold, Georg Royl, Torsten Helberg, Götz Thomalla, Darius G. Nabavi, Joachim Röther, Ulrich Laufs, Roland Veltkamp, Peter U. Heuschmann, Paulus Kirchhof, Manuel C. Olma, Matthias Endres

“…Background Excessive supraventricular ectopic activity (ESVEA) is regarded as a risk marker for later atrial fibrillation (AF) detection. Methods and Results The investigator‐initiated, prospective, open, multicenter MonDAFIS (Impact of Standardized Monitoring for Detection of Atrial Fibrillation in Ischemic Stroke) study randomized 3465 patients with acute ischemic stroke without known AF 1:1 to usual diagnostic procedures for AF detection or additive Holter monitoring in hospital for up to 7 days, analyzed in a core laboratory. …”
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Diagnostic Accuracy of AdvanSure^TM and PowerChek^TM Real-Time PCR Assays for the Detection of <i>Mycobacterium tuberculosis</i> and Nontuberculous Mycobacteria by Johny Bajgai, Chi-Hyun Cho, Jong-Han Lee

“…Five discrepant results were finally confirmed as four NTM detection cases and one negative case by culture and clinical diagnosis which showed four cases of PowerChek^TM MTB+NTM detection and one case of NTM detection, respectively. …”
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Data-driven flight path monitoring technique using recurrent neural network for the safety management of commercial aircraft by Naeun Kim, Mohamed H. Hamza, Bong-Hwan Koh

“…This early detection capability empowers pilots to identify the initial signs of upset conditions and make informed operational decisions, ultimately improving aviation safety. …”
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PROPERTIES OF NETWORKS BUILT ON DIGITAL IMAGES by Oleh Kushnir, Oleksiy Kravchuk, Volodymyr Franiv

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A Hybrid Network Analysis and Machine Learning Model for Enhanced Financial Distress Prediction by Saba Taheri Kadkhoda, Babak Amiri

“…Initially, models are trained using only the initial features. …”
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Dynamic Proxemic Model for Human–Robot Interactions Using the Golden Ratio by Tomáš Spurný, Ján Babjak, Zdenko Bobovský, Aleš Vysocký

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Comparative analysis of various clinical specimens in detection of SARS-CoV-2 using rRT-PCR in new and follow up cases of COVID-19 infection: Quest for the best choice. by Kuldeep Sharma, Pragya Aggarwala, Deepa Gandhi, Anuniti Mathias, Priyanka Singh, Somya Sharma, Sanjay Singh Negi, Anudita Bhargava, Padma Das, Ujjwala Gaikwad, Archana Wankhede, Ajoy Behra, Nitin M Nagarkar

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Dark Matter Genesis by Jeremy Mould

“…Some of the many recent exoplanet detections may conceivably have been detections of PBHs. …”
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Resource-Efficient Design and Implementation of Real-Time Parking Monitoring System with Edge Device by Jungyoon Kim, Incheol Jeong, Jungil Jung, Jinsoo Cho

“…Parking management systems play a crucial role in addressing parking shortages and operational challenges; however, high initial costs and infrastructure requirements often hinder their implementation. …”
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Advanced Persistent Threat Kill Chain for Cyber-Physical Power Systems by Alfan Presekal, Alexandru Stefanov, Vetrivel Subramaniam Rajkumar, Ioannis Semertzis, Peter Palensky

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