A SERS‐Based Antibody‐Aptamer Sandwich Assay for Extracellular Vesicle‐Associated Tau Detection Using Gold Nanoparticles by Saqer Al Abdullah, Samaneh Ghadami, Md. Arifur Rahman Khan, Farbod Ebrahimi, Kyle Nowlin, Tetyana Ignatova, Kristen Dellinger

“…Subsequently, adding gold nanoparticles functionalized with SERS probes and aptamers enabled the detection of tau in EVs using SERS. …”
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A Small-Sample Target Detection Method of Side-Scan Sonar Based on CycleGAN and Improved YOLOv8 by Ye Zheng, Jun Yan, Junxia Meng, Ming Liang

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Molecularly imprinted MOF nanozymes: Demonstration of smartphone-integrated dual-mode platform for ratiometric fluorescent/colorimetric detection of chloramphenicol by Xiang-Yi He, Ya Wang, Qin Xue, Wan-Fen Qian, Guang-Li Li, Qing Li

“…In this study, we successfully synthesized MIL-101(Fe)-NH2@MIP, which exhibits peroxidase activity and a specific recognition function for CAP, through in situ polymerization of dopamine on the surface of MIL-101(Fe)-NH2, utilizing molecular imprinting technology. …”
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Surface defect detection model of laser cutting polycrystalline cubic boron nitride tool based on asymptotic fusion strategy by Anfu Zhu, Jiaxiao Xie, Heng Guo, Jie Wang, Zilong Guo, Lei Xu, SiXin Zhu, Zhanping Yang, Bin Wang

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Detection of power theft in sensitive stations based on generalized robust distance metric and multi-classification support vector machine by Wei Zhang, Qiong Cao, Shuai Yang, Hao Guo

“…Through training and optimization, the support vector machine outputs the detection results of electricity stealing behavior according to the decision function, and realizes the accurate detection of electricity stealing behavior. …”
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Enhancing Cybersecurity Through Fusion of Optimization With Deep Wavelet Neural Networks on Denial of Wallet Attack Detection in Serverless Computing by P. Renukadevi, Sibi Amaran, A. Vikram, T. Prabhakara Rao, Mohamad Khairi Ishak

“…Deep learning (DL) models show strong potential in detecting DoW attacks, where attackers disrupt services by exploiting system resources. …”
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Fusion of transfer learning with nature-inspired dandelion algorithm for autism spectrum disorder detection and classification using facial features by G. Elangovan, N. Jagadish Kumar, J. Shobana, M. Ramprasath, Gyanendra Prasad Joshi, Woong Cho

“…There is no specific medicine for treating this disorder; early intervention is critical to improving brain function. Additionally, the lack of a clinical test for detecting ASD makes diagnosis challenging. …”
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DETECTION AND SYSTEMATIZATION OF SIGNS AND MARKERS OF MODIFICATIONS IN MEDIA CONTENT FOR THE DEVELOPMENT OF A METHODOLOGY TO ENHANCING CRITICAL THINKING IN THE ERA OF DEEPFAKES by Ганна Чемерис

“…The paper focuses on creating a comprehensive framework for detecting manipulated content and identifying indicators such as pixelization, unnatural expressions, etc. …”
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Functional characterization of a novel plant growth-promoting rhizobacterium enhancing root growth and salt stress tolerance by Sanghee Lee, Young Kook Kim, Haulin Nie, Jongmin Ahn, Nayoung Kim, Seo-Rin Ko, Ah-Hyeon Choi, Hayoung Kwon, Yuxin Peng, Suk-Yoon Kwon, Ah-Young Shin

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Exploratory integration of near-infrared spectroscopy with clinical data: a machine learning approach for HCV detection in serum samples by Eloy Pérez-Gómez, José Gómez, José Gómez, Jennifer Gonzalo, Sergio Salgüero, Daniel Riado, María Luisa Casas, María Luisa Gutiérrez, Elena Jaime, Enrique Pérez-Martínez, Rafael García-Carretero, Javier Ramos, Conrado Fernández-Rodríguez, Conrado Fernández-Rodríguez, Myriam Catalá, Myriam Catalá, Luca Martino, Óscar Barquero-Pérez

“…Feature importance analysis highlighted specific wavelengths near 1,150 nm, 1,410 nm, and 1,927 nm, associated with water molecular states and liver function biomarkers (GPT, GOT, GGT), reinforcing the biological relevance of this approach.ConclusionsThese findings suggest that integrating NIRS and clinical data through machine learning enhances HCV diagnostic capabilities, offering a scalable and non-invasive alternative for early detection and risk assessment.…”
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Karbon dots (C-dots) dari Bahan Hayati untuk Deteksi Logam Berat by Cut Navita Rahmi, Sri Sugiarti, Alvian Dea Yuliani

“…This study aims to review carbon nanoparticles derived from natural sources for detecting heavy metals. C-dots derived from biological sources have been widely studied as selective heavy metal detection. …”
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Hybrid 3D CNN-LSTM Model for rs-fMRI-Based Parkinson’s Prediction by Salman Ibne Eunus, Sakib Rokoni, Mitheela Das Armisha, Jasia Hossain Omi, Asika Islam, Farah Binta Haque

“…Three-dimensional structural and functional brain scans from both healthy controls and patients with Parkinson’s disease form our dataset. …”
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Signal Denoising Method Based on Improved Wavelet Threshold Function for Microchip Electrophoresis C4D Equipment by Yaonan Tong, Jingui Li, Yaohui Xu, Lichen Cao

“…A signal denoising method using improved wavelet threshold function is presented for microchip electrophoresis based on capacitively coupled contactless conductivity detection (ME-C4D) device. …”
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Empowering Healthcare: TinyML for Precise Lung Disease Classification by Youssef Abadade, Nabil Benamar, Miloud Bagaa, Habiba Chaoui

“…However, it has limitations, such as a lack of recording functionality, dependence on the expertise and judgment of physicians, and the absence of noise-filtering capabilities. …”
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Short-Circuit Protection Circuit With Current Slope-to-Digital Conversion Short-Circuit Detection and Adaptive Soft Turn-Off by Seungjik Lee, Jinman Myung, Geonwoo Park, Yoseph Kim, Ockgoo Lee, Ilku Nam

“…It ensures that the drain–source voltage overshoot remains below 14.5% of the drain–source voltage while achieving a consistent response delay of approximately 750 ns for short-circuit detection and a turn-off time of approximately 500 ns for soft turn-off operation.…”
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First Stability Characterization for a CZT Detection System in an e⁺e⁻ Collider Environment by Leonardo Abbene, Francesco Artibani, Manuele Bettelli, Antonino Buttacavoli, Fabio Principato, Andrea Zappettini, Massimiliano Bazzi, Giacomo Borghi, Mario Bragadireanu, Michael Cargnelli, Marco Carminati, Alberto Clozza, Francesco Clozza, Luca De Paolis, Raffaele Del Grande, Kamil Dulski, Laura Fabbietti, Carlo Fiorini, Carlo Guaraldo, Mihail Iliescu, Masahiko Iwasaki, Aleksander Khreptak, Simone Manti, Johann Marton, Pawel Moskal, Fabrizio Napolitano, Szymon Niedźwiecki, Hiroaki Ohnishi, Kristian Piscicchia, Yuta Sada, Francesco Sgaramella, Diana Laura Sirghi, Florin Sirghi, Magdalena Skurzok, Michal Silarski, Antonio Spallone, Kairo Toho, Lorenzo Toscano, Marlene Tüchler, Oton Vasquez Doce, Johann Zmeskal, Catalina Curceanu, Alessandro Scordo

“…Additionally, this study introduces a validated model of the response function of the detector. The relative deviations from the nominal values for the source transitions, obtained by fitting the entire spectrum with a background function and the previously introduced response function, are reported. …”
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Detection of hepatitis B virus mRNA from single cell RNA sequencing data without prior knowledge. by Nicolaas Van Renne, Thomas Vanwolleghem

“…We successfully detected HBV reads in the liver of viraemic patients, predominantly in hepatocytes and, to a lesser extent, in Kupffer cells. …”
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A Bioinformatic Approach for Molecular Characterization and Functional Annotation of an Uncharacterized Protein from <i>Vibrio cholerae</i> by Md. Yousuf, Abu Saim Mohammad Saikat, Md. Ekhlas Uddin

“…Therefore, it is essential to comprehend <i>V. cholerae</i> by analyzing the structure and annotating the function of uncharacterized proteins. The NCBI sequence of uncharacterized <i>V. cholerae</i> O1 EET91795.1 proteins was annotated for this study. …”
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Detection and Molecular Mass Determination of an HIV Replication-Enhancing Female Genital Tract Factor Using a Blot Bioassay by Farhad B. Hashemi, Gregory T. Spear, Lawrence Madsen, Juergen Mollenhauer

“…The BioBlot assay successfully detected bioactivity of HIF anchored onto nitrocellulose and determined that HIF has a molecular mass of about 14 kDa. …”
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Intelligent Ultrasonic Aspirator Controlled by Fiber-Optic Neoplasm Sensor Detecting 5-Aminolevulinic Acid-Derived Porphyrin Fluorescence by Yoshinaga Kajimoto, Hidefumi Ota, Masahiro Kameda, Naosuke Nonoguchi, Motomasa Furuse, Shinji Kawabata, Toshihiko Kuroiwa, Toshihiro Takami, Masahiko Wanibuchi

“…The development of an intelligent ultrasonic aspirator controlled by a fiber-optic neoplasm sensor that detects 5-aminolevulinic acid-derived porphyrin fluorescence presents a significant advancement in glioma surgery. …”
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