Sub-femtomolar drug monitoring via co-calibration mechanism with nanoconfined DNA probes by Yonghuan Chen, Xiuying Li, Xinru Yue, Weihua Yu, Yuesen Shi, Zilong He, Yuanfeng Wang, Yu Huang, Fan Xia, Fengyu Li

“…Abstract Synthetic drugs fundamentally reshape the illicit drug market due to their low cost, ease of production, and rapid manufacturing processes. However, current drug detection methods, which rely on complex instruments, have limited applicability and often neglect the influence of pH fluctuations, leading to potential bias and unreliable results. …”
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New Frontiers for the Early Diagnosis of Cancer: Screening miRNAs Through the Lateral Flow Assay Method by Afsaneh Emamiamin, Seyedeh Rojin Shariati Pour, Thea Serra, Donato Calabria, Marta Varone, Fabio Di Nardo, Massimo Guardigli, Laura Anfossi, Claudio Baggiani, Martina Zangheri, Mara Mirasoli

“…MicroRNAs (miRNAs), which circulate in the serum and plasma, play a role in several biological processes, and their levels in body fluids are associated with the pathogenesis of various diseases, including different types of cancer. …”
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Nanotechnology-driven electrochemical neurotransmitter sensing as a fundamental approach towards improving diagnostics and therapeutics: A review by Mehr Un Nisa, Asim Yaqub, Muhammad Hashim Khan, Fatima Yaseen, Shahaab Jilani, Huma Ajab, Noor S. Shah, Abdulaziz Al-Anazi

“…Therefore, their accurate and sensitive detection is of great importance. Traditional methods of NTs detection are limited to complex sample processing, high cost, and real-time diagnostics. …”
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Emerging infectious diseases in free-ranging wildlife-Australian zoo based wildlife hospitals contribute to national surveillance. by Keren Cox-Witton, Andrea Reiss, Rupert Woods, Victoria Grillo, Rupert T Baker, David J Blyde, Wayne Boardman, Stephen Cutter, Claude Lacasse, Helen McCracken, Michael Pyne, Ian Smith, Simone Vitali, Larry Vogelnest, Dion Wedd, Martin Phillips, Chris Bunn, Lyndel Post

“…This program uses a collaborative approach and provides a strong model for a disease surveillance program for free-ranging wildlife that enhances the national capacity for early detection of emerging diseases.…”
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Predicting the Degree of Fresh Tea Leaves Withering Using Image Classification Confidence by Mengjie Wang, Yali Shi, Yaping Li, Hewei Meng, Zezhong Ding, Zhengrui Tian, Chunwang Dong, Zhiwei Chen

“…This method enables accurate and rapid detection of tea leaf withering, providing crucial technical support for online determination during processing.…”
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Lateral Flow Immunosensing of <i>Salmonella</i> Typhimurium Cells in Milk: Comparing Three Sequences of Interactions by Nadezhda A. Byzova, Irina V. Safenkova, Alexey A. Gorbatov, Sergey F. Biketov, Boris B. Dzantiev, Anatoly V. Zherdev

“…The sample’s dilution to a fat content of 1.0% causes pathogen detection, with 70–110% revealing and 1.5–8.5% accuracy. …”
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Advancement in Graph Neural Networks for EEG Signal Analysis and Application: A Review by S. M. Atoar Rahman, Md Ibrahim Khalil, Hui Zhou, Yu Guo, Ziyun Ding, Xin Gao, Dingguo Zhang

“…The applications of GNNs are summarized in the domains of emotion detection, epilepsy seizure detection, stroke rehabilitation, Alzheimer&#x2019;s disease diagnosis, motor imagery detection, neurological disease diagnosis, major depressive disorder, and driving fatigue detection. …”
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Is annual screening by fecal immunochemical test necessary after a recent colonoscopy? by Yutaka Okagawa, Tetsuya Sumiyoshi, Kota Hanada, Sota Hirokawa, Yusuke Tomita, Masahiro Yoshida, Takeyoshi Minagawa, Kohtaro Morita, Kei Yane, Hideyuki Ihara, Michiaki Hirayama, Hitoshi Kondo

“…The adenoma detection rates were 33.8% in the previous TCS group and 40.0% in the non‐previous TCS group (no significant difference). …”
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Tackling misinformation in mobile social networks a BERT-LSTM approach for enhancing digital literacy by Jun Wang, Xiulai Wang, Airong Yu

“…Abstract The rapid proliferation of mobile social networks has significantly accelerated the dissemination of misinformation, posing serious risks to social stability, public health, and democratic processes. Early detection of misinformation is essential yet challenging, particularly in contexts where initial content propagation lacks user feedback and engagement data. …”
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Coal mine conveyor monitoring video enhancement algorithm based on DP-YOLOv7 by Lei ZHANG

“…By introducing detail processing module (DPM) and low frequency enhancement filter (LEF) into PENet network, the detection effect in low light environment of coal mine is enhanced, and the coal dust and water vapor are denoised by domain adaptive algorithm. …”
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Demonstration of Measurement-Enhanced State Preparation and Erasure Conversion in a Molecular Tweezer Array by Connor M. Holland, Yukai Lu, Samuel J. Li, Callum L. Welsh, Lawrence W. Cheuk

“…Our work opens the door to new possibilities with molecular tweezer arrays: Measurement-enhanced preparation opens access to mesoscopic defect-free molecular arrays that are important for quantum simulation of interacting many-body systems; erasure conversion in molecular arrays lays the technical groundwork for midcircuit detection, an important capability for explorations in quantum information processing.…”
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Application of Deep Learning and Unmanned Aerial Vehicle on Building Maintenance by Ren-Yi Kung, Nai-Hsin Pan, Charles C.N. Wang, Pin-Chan Lee

“…However, conventional inspection methods are time-, cost-, and labor-intensive processes. Therefore, herein, this study proposes a convolutional neural network (CNN) model for image-based automated detection and localization of key building defects (efflorescence, spalling, cracking, and defacement). …”
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Nonreference Medical Image Edge Map Measure by Karen Panetta, Chen Gao, Sos Agaian, Shahan Nercessian

“…Edge detection is a key step in medical image processing. …”
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Research on highway road condition intelligent assessment and optimization system based on deep learning and internet of things by Tingquan He, Changhai Wang, Riyan Lan, Haiyu Luo

“…By optimizing the ResNet-50 down sampling module, introducing the channel attention mechanism, and improving the NMS strategy, the detection accuracy is significantly improved to 89.63 % mAP while maintaining efficient processing speed. …”
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Resting Posture Recognition Method for Suckling Piglets Based on Piglet Posture Recognition (PPR)–You Only Look Once by Jinxin Chen, Luo Liu, Peng Li, Wen Yao, Mingxia Shen, Longshen Liu

“…This study proposes a resting posture recognition method for piglets during lactation based on the PPR-YOLO model, aiming to enhance the detection accuracy and classification capability for different piglet resting postures. …”
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Research on the Real-Time Scoring of Chest Ring Target Based on Transfer Learning and Improved Lightweight Neural Network by Minghui Meng, Chuande Zhou

“…To enable efficient and high-precision real-time bullet hole detection, the paper lightweight processes the YOLOv10n end-to-end regression framework. …”
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A Lightweight Greenhouse Tomato Fruit Identification Method Based on Improved YOLOv11n by Xingyu Gao, Fengyu Li, Jun Yan, Qinyou Sun, Xianyong Meng, Pingzeng Liu

“…Concurrently, the Lightweight Shared Convolutional Detection (LSCD) is incorporated into the detection head component with to the aim of further reducing the computational complexity. …”
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A Fire Segmentation Method with Flame Detail Enhancement U-Net in Multispectral Remote Sensing Images Under Category Imbalance by Rui Zou, Zhihui Xin, Guisheng Liao, Penghui Huang, Rui Wang, Yuhu Qiao

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Multilingual identification of nuanced dimensions of hope speech in social media texts by Grigori Sidorov, Fazlourrahman Balouchzahi, Luis Ramos, Helena Gómez-Adorno, Alexander Gelbukh

“…Abstract Hope plays a crucial role in human psychology and well-being, yet its expression and detection across languages remain underexplored in natural language processing (NLP). …”
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Simultaneous Determination of α,β-Unsaturated Aldehydes in Emulsion Using Supercritical Fluid Chromatography-Tandem Mass Spectrometry by WANG shu, WEI Shixiao, ZHANG hao, SUN Shangde, BI Yanlan

“…This method is a simple, efficient, environment-friendly, sensitive, and accurate one for the detection of α,β-unsaturated aldehydes generated during the processing, storage, and use of emulsion-based foods.…”
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