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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Location and function of TDP-43 in platelets, alterations in neurodegenerative diseases and arising considerations for current plasma biobank protocols by Ruth Luthi-Carter, Sara Cappelli, Morgan Le Roux-Bourdieu, Noemie Tentillier, James P. Quinn, Tiziana Petrozziello, Lathika Gopalakrishnan, Purva Sethi, Himanshi Choudhary, Giorgia Bartolini, Elias Gebara, Cristiana Stuani, Laure Font, Jiyan An, Vanessa Ortega, Jessica Sage, Edina Kosa, Bianca A. Trombetta, Roberto Simeone, Tamara Seredenina, Tariq Afroz, James D. Berry, Steven E. Arnold, Becky C. Carlyle, Oskar Adolfsson, Ghazaleh Sadri-Vakili, Emanuele Buratti, Robert Bowser, Abdulbaki Agbas

“…Here, we explore its tractability as a plasma biomarker of disease and describe its localization and possible functions in the cytosol of platelets. Novel TDP-43 immunoassays were developed on three different technical platforms and qualified for specificity, signal-to-noise ratio, detection range, variation, spike recovery and dilution linearity in human plasma samples. …”
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A Fault-Tolerant Localization Method for 5G/INS Based on Variational Bayesian Strong Tracking Fusion Filtering with Multilevel Fault Detection by Zhongliang Deng, Ziyao Ma, Haiming Luo, Jilong Guo, Zidu Tian

“…Sudden and gradual faults were quickly detected through a dual-channel pre-check, and then, the fault source was identified through AIME. …”
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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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Optimized decomposition and identification method for multiple power quality disturbances by Wang Zhaoqing, Chang Yanzhao, Chen Jianlei, Bao Weiyu

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A Method for Service Function Chain Migration Based on Server Failure Prediction in Mobile Edge Computing Environment by Joelle Kabdjou, Norihiko Shinomiya

“…However, traditional hardware-based middleboxes limit flexibility and scalability, leading to the adoption of Network Function Virtualization (NFV). NFV enables the deployment of network functions as software, optimizing resource allocation and reducing costs. …”
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A Lightweight Method for Road Defect Detection in UAV Remote Sensing Images with Complex Backgrounds and Cross-Scale Fusion by Wenya Zhang, Xiang Li, Lina Wang, Danfei Zhang, Pengfei Lu, Lei Wang, Chuanxiang Cheng

“…Moreover, the CAA attention mechanism is employed to strengthen the model’s global feature extraction abilities; (2) a cross-scale feature fusion strategy known as GFPN is developed to tackle the problem of diverse target scales in road damage detection; (3) to reduce computational resource consumption, a lightweight detection head called EP-Detect has been specifically designed to decrease the model’s computational complexity and the number of parameters; and (4) the model’s localization capability for road damage targets is enhanced by integrating an optimized regression loss function called WiseIoUv3. …”
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BiEHFFNet: A Water Body Detection Network for SAR Images Based on Bi-Encoder and Hybrid Feature Fusion by Bin Han, Xin Huang, Feng Xue

“…Water body detection in synthetic aperture radar (SAR) imagery plays a critical role in applications such as disaster response, water resource management, and environmental monitoring. …”
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VIRify: An integrated detection, annotation and taxonomic classification pipeline using virus-specific protein profile hidden Markov models. by Guillermo Rangel-Pineros, Alexandre Almeida, Martin Beracochea, Ekaterina Sakharova, Manja Marz, Alejandro Reyes Muñoz, Martin Hölzer, Robert D Finn

“…Overall, we demonstrate that VIRify is a novel and powerful resource that offers an enhanced capability to detect a broad range of viral contigs and taxonomically classify them.…”
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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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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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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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A deep learning based intrusion detection system for CAN vehicle based on combination of triple attention mechanism and GGO algorithm by Hongwei Yang, Mehdi Effatparvar

“…Within the initial phase, the major features have been extracted, and TAN functions as a descriptor of feature. Then, the discriminating categorizer classifies the current features. …”
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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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Enhancing microseismic event detection with TransUNet: A deep learning approach for simultaneous pickings of P-wave and S-wave first arrivals by Kun Chen, Meng Li, Xiaolian Li, Guangzhi Cui, Jia Tian, JiaLe Li, RuoYao Mu, JunJie Zhu

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Heuristically enhanced multi-head attention based recurrent neural network for denial of wallet attacks detection on serverless computing environment by Sarah A. Alzakari, Mohammad Alamgeer, Abdullah M. Alashjaee, Monir Abdullah, Khalid Nazim Abdul Sattar, Asma Alshuhail, Ahmad A. Alzahrani, Abdulwhab Alkharashi

“…Detecting DoW threats involves monitoring and analyzing the system-level resource consumption of specific bare-metal mechanisms. …”
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Innovative Sandia Frequency Shift Islanding Detection for Microgrids Using Interval Type-II Fuzzy Logic and VP-PSO Optimization by Mehrdad Ahmadi Kamarposhti, Hassan Shokouhandeh, Yeonwoo Lee, Sun-Kyoung Kang, Ilhami Colak, El Manaa Barhoumi, Kei Eguchi

“…The proposed approach further integrates a variable-parameter PSO (VP-PSO) algorithm to optimize both fuzzy membership functions and controller parameters. Comprehensive simulations demonstrate 100% detection accuracy for both PV and wind farm islanding scenarios, significantly outperforming conventional methods: standard SFS (84-86%), type-1 fuzzy SFS (89-91%), and neural network approaches (94-95%). …”
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Effect of melatonin, zinc sulfate, nano-melatonin, and nano-zinc oxide on mitochondria function and developmental competence of buffalo oocytes by Omaima Mohamed Kandil, Heba Elsaeed Elsehy, Nabil Mohamed Baker, Mohamed Asran Elbehiry, Sayed Ahmed Hattab

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Enhanced YOLOv7-Tiny for Small-Scale Fire Detection via Multi-Scale Channel Spatial Attention and Dynamic Upsampling by Shihao Wu, Yi Xia

“…Furthermore, the Focaler-IoU loss function is employed to focus the model on hard samples, enhancing the accuracy of small fire detection. …”
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Scalable Electrochemical Synthesis of Novel Biogenic Silver Nanoparticles and Its Application to High-Sensitive Detection of 4-Nitrophenol in Aqueous System by Van-Tuan Hoang, Ngo Xuan Dinh, Tuyet Nhung Pham, Tran Vinh Hoang, Pham Anh Tuan, Tran Quang Huy, Anh-Tuan Le

“…Under a direct-current voltage source, the biomolecules in GTE can release electrons to promote the reducing process of Ag+ to Ag0. …”
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