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  1. 321

    Versatile on-chip polarization-sensitive detection system for optical communication and artificial vision by Zhilin Liu, Mingxiu Liu, Liujian Qi, Nan Zhang, Bin Wang, Xiaojuan Sun, Rongjun Zhang, Dabing Li, Shaojuan Li

    Published 2025-02-01
    “…In this work, we construct a versatile platform that transcends the constraints of material anisotropy, by integrating WSe2-based photodetector with MoS2-based field-effect transistor, delivering high-performance broadband polarization detection capability with orders of magnitude improvement in anisotropic ratio and on/off ratio. …”
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    CAR T-cell detection scoping review: an essential biomarker in critical need of standardization by Naomi Taylor, Nirali N Shah, David P Turicek, Victoria M Giordani, Josquin Moraly

    Published 2023-05-01
    “…As such, the tools used to detect CAR T-cells following infusion are fundamental for optimizing this therapeutic approach. …”
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  5. 325

    Design of a GSM Based Energy Meter Monitoring and Tamper Detection System. by Bakenge Joshua

    Published 2023
    “…Energy theft continues to be an issue of great challenge for electricity operators all over the world today. The attempt to detect and reduce the energy theft mechanisms is a challenging task due to insufficient inspection methods. …”
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    Thesis
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    Over-the-counter carrageenan-based sprays may interfere with PCR testing of nasopharyngeal swabs to detect SARS-CoV-2. by Taylor Corocher, Kira Edwards, Yvonne Hersusianto, Donald Campbell, Hui Yin Lim, Paul Monagle, Prahlad Ho

    Published 2025-01-01
    “…Carrageenan belongs to the glycosaminoglycan family alongside heparin, and heparin is known to inhibit real-time quantitative polymerase chain reaction (RT-qPCR) in nasopharyngeal swabs used to detect SARS-CoV-2. As heparin and carrageenan share structural similarities, this work aimed to investigate the interferent effect of carrageenan on RT-qPCR for SARS-CoV-2 detection across 4 different diagnostic platforms. …”
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    Change Detection Analysis and Deforestation Rates in Oluwa Forest Reserve, Ondo State, Nigeria by J.O. Mephors, O.S. Afolabi, O.M. Ogoliegbune, I.S. Adamu, A.R. Orunkoyi

    Published 2021-11-01
    “…Maximum likelihood classifier approach was used to detect LULC changes in the study area of 1989 to 2019 using three Landsat images from 1989, 2004 and 2019. …”
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  12. 332

    Detection and quantification of pathogens in saliva of adolescents with cerebral palsy: a cross-sectional study by Rosemeire Arai Yoshida, Tiago Bertola Lobato, Renata Gorjão, Lucas Santiago França, Lívia Araujo Alves, Maria Teresa Botti Rodrigues Santos

    Published 2023-12-01
    “…BackgroundElevated levels of inflammatory mediators in saliva have been described in individuals with cerebral palsy (CP).ObjectiveThe aim of this study was to detect and quantify the pathogens Porphyromonas gingivalis, Aggregatibacter actinomycetemcomitans, Fusobacterium nucleatum and Prevotella intermedia in the saliva of adolescents with CP.MethodsThis is a cross-sectional study with adolescents with CP to detect periodontopathogens from saliva samples. …”
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  13. 333

    Comparative evaluation of multimarker algorithms for early-stage HCC detection in multicenter prospective studies by Jinlin Hou, Thomas Berg, Arndt Vogel, Teerha Piratvisuth, Jörg Trojan, Enrico N. De Toni, Masatoshi Kudo, Katarina Malinowsky, Peter Findeisen, Johannes Kolja Hegel, Wenzel Schöning, Kairat Madin, Konstantin Kroeniger, Henry Lik-Yuen Chan, Ashish Sharma

    Published 2025-02-01
    “…Background & Aims: We compared the clinical performance of the novel GAAD (gender [biological sex], age, alpha-fetoprotein [AFP], des-gamma carboxyprothrombin [DCP]) and GALAD (gender [biological sex], age, AFP, Lens culinaris agglutinin-reactive AFP [AFP-L3], DCP) algorithms to deduce the clinical utility of AFP-L3 for detecting early-stage hepatocellular carcinoma (HCC) from chronic liver disease (CLD). …”
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  14. 334

    Dual‐fluorescence imaging and automated trophallaxis detection for studying multi‐nutrient regulation in superorganisms by Lior Baltiansky, Einav Sarafian‐Tamam, Efrat Greenwald, Ofer Feinerman

    Published 2021-08-01
    “…Additionally, our image‐based deep learning algorithm for automatic detection of ant trophallaxis events efficiently yields a detailed record of all food‐transfer interactions. …”
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    Article
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