Development of a fluorophilic ion-exchange material with dual binding mechanism for solid-phase extraction of PFAS by Johanna Freilinger, Jan O. Back, Raphael Plangger, Herwig Schottenberger, Christian W. Huck, Marco Rupprich, Rania Bakry

“…The findings underscore the potential of this innovative polyelectrolyte as a selective, regenerable, and efficient alternative to conventional SPE materials, qualifying it as a superior candidate for PFAS analysis.…”
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Nonlocal Huygens’ meta-lens for high-quality-factor spin-multiplexing imaging by Jin Yao, Yubin Fan, Yunhui Gao, Rong Lin, Zhihui Wang, Mu Ku Chen, Shumin Xiao, Din Ping Tsai

“…Abstract Combining bright-field and edge-enhanced imaging affords an effective avenue for extracting complex morphological information from objects, which is particularly beneficial for biological imaging. …”
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Integrative Transcriptomic and Target Metabolite Analysis as a New Tool for Designing Metabolic Engineering in Yeast by Alejandro Lopez-Barbera, Nerea Abasolo, Helena Torrell, Nuria Canela, Salvador Fernández-Arroyo

“…Therefore, the use of multi-omics strategies can help in the design, selection and efficiency of genetic editing. In this study, we present a multi-omics approach based on targeted metabolite analysis and transcriptomics for the designing of CRISPR/Cas9 in baker’s yeast as a more efficient strategy to select editing regions. …”
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A Blockchain-Based Architecture of Web3.0: A Comprehensive Decentralized Model With Relay Nodes, Unique IDs and P2P by Hyunjoo Yang, Sejin Park

“…When faced with malicious requests, the system significantly reduces verification latency to an average of 0.0106 ms, ensuring rapid rejection and preserving network stability, while legitimate requests are processed efficiently with an average latency of 0.4125 ms.Experiments comparing latency-based and random-based relay selection methods across various network configurations (public-public, public-private, private-private) demonstrate that latency-based selection optimizes connection setup times in low-latency environments, while random-based selection provides robust performance in complex network scenarios. …”
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Performance of Machine Learning Classifiers for Diabetes Prediction by Mijala Manandhar, Shaikat Baidya, Babalpreet Kaur, Katia Atoji

“…Decision Table offered a clear representation of decision rules but was limited by the complexity of the dataset. In the Trees group, J48 was the most effective, benefitting from its ability to handle complex interactions and numerous features. …”
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Synovial fluid genexpert quietus diagnostic jostle – A case report and algorithmic approach to monoarthritis by Prajna Karki, Ramyasri Kodali, Vineeta shobha

“…Xpert® MTB/RIF (Xpert) is a rapid, automated, nucleic acid amplification assay, recommended by the World Health Organization for the simultaneous detection of MTB complex and rifampicin resistance. …”
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Study on Tracking Real-Time Target Human Using Deep Learning for High Accuracy by Van-Truong Nguyen, Duc-Tuan Chu

“…The experiment result indicates that the proposed system is efficient without the impact of colors, background, and light. …”
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The analysis of landscape design and plant selection under deep learning by Lian Li, JiYon Lee

“…The key innovation of this paper lies in the first application of multi-scale feature fusion and attention mechanisms within the FCN model, effectively improving the segmentation capability of complex landscape images. Moreover, background noise interference is reduced by using object detection techniques. …”
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Camera Pose Generation Based on Unity3D by Hao Luo, Wenjie Luo, Wenzhu Yang

“…Deep learning models performing complex tasks require the support of datasets. With the advancement of virtual reality technology, the use of virtual datasets in deep learning models is becoming more and more widespread. …”
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Comparison of Semidefinite Relaxation Detectors for High-Order Modulation MIMO Systems by Z. Y. Shao, S. W. Cheung, T. I. Yuk

“…Multiple-input multiple-output (MIMO) system is considered to be one of the key technologies of LTE since it achieves requirements of high throughput and spectral efficiency. The semidefinite relaxation (SDR) detection for MIMO systems is an attractive alternative to the optimum maximum likelihood (ML) decoding because it is very computationally efficient. …”
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Attention-Based Lightweight YOLOv8 Underwater Target Recognition Algorithm by Shun Cheng, Zhiqian Wang, Shaojin Liu, Yan Han, Pengtao Sun, Jianrong Li

“…Underwater object detection is highly complex and requires a high speed and accuracy. …”
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Determination of correlation between cytokines IL 6, IL8, IL10, IL12, IL17 and severity of hepatocellular carcinoma in patients having hepatitis C by Ishtiaq Ahmad, Hamidullah, Ashraf, Murad Ali, Manzoor Hussain, Rehman Ud Din

“…Method: The retrospective, cross-sectional, analytical study was conducted at the Department of Medicine, Mardan Medical Complex, Mardan, Khyber Pakhtunkhwa, Pakistan, and comprised data of hepatocellular carcinoma patients who were positive for hepatitis C on polymerase chain reaction test from March 2021 to December 2022. …”
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SmartPod: An Automated Framework for High-Precision Soybean Pod Counting in Field Phenotyping by Fei Liu, Shudong Wang, Shanchen Pang, Zhongzhi Han, Longgang Zhao

“…We present SmartPod, an advanced deep learning framework that addresses these challenges through three key innovations: (1) a novel vision Transformer architecture for enhanced feature representation, (2) an efficient attention mechanism for the improved detection of overlapping pods, and (3) a semi-supervised learning strategy that maximizes performance with limited annotated data. …”
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Recent advances of plant growth promoting rhizobacteria (PGPR) for eco-restoration of polluted soil by Mohd. Zobair Iqbal, Kshitij Singh, Ram Chandra

“…Recent advances in metagenomic approaches have allowed for the detection of rhizospheric bacterial communities from polluted soils revealing their contributions to the degradation of complex pollutants through the production of potential enzymes as a novel technique. …”
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Effective Classification of Plant Diseases Using Blend Unity Resqueeze With ResNet Model by Reena S, Rathinasabapathy

“…However, the task becomes complex and erroneous due to the complex nature of data. …”
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Infrared and Visible Image Fusion Using a State-Space Adversarial Model with Cross-Modal Dependency Learning by Qingqing Hu, Yiran Peng, KinTak U, Siyuan Zhao

“…The results confirm the robustness and generalizability of our framework for complex scene understanding and downstream tasks such as object detection under adverse conditions.…”
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Liquid Crystal Microcavity Biosensors for Real-Time Liver Injury Monitoring via Whispering Gallery Mode Laser by Jianwei Wang, Yeshuai Song, Xinyu Dou, Jiapeng Sun, Xinghua Yang, Yu Zhang, Zhihai Liu, Yanzeng Li, Hanyang Li

“…However, existing detection methods often suffer from complex operation, high costs, and limited sensitivity. …”
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Innovative Peptide-Based Plasmonic Optical Biosensor for the Determination of Cholesterol by Ana Lia Bernardo, Anne Parra, Virginia Cebrián, Óscar Ahumada, Sergio Oddi, Enrico Dainese

“…Plasmonic-based biosensors have gained prominence as potent optical biosensing platforms in both scientific and medical research, attributable to their enhanced sensitivity and precision in detecting biomolecular and chemical interactions. However, the detection of low molecular weight analytes with high sensitivity and specificity remains a complex and unresolved issue, posing significant limitations for the advancement of clinical diagnostic tools and medical device technologies. …”
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Improvement of the sensitivity of circulating tumor DNA-based liquid biopsy: current approaches and future perspectives by Ekaterina S. Kuligina, Grigoriy A. Yanus, Evgeny N. Imyanitov

“…Liquid biopsy (LB) is a complex of procedures aimed at the detection of tumor-derived fragments (nucleic acids, proteins, cells, etc.) persisting in the blood or other body fluids. …”
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Real-Time Recognition and Localization of Kiwifruit Based on Improved YOLOv5s Algorithm by Jin-Sui Dai, Zhi-Qin He

“…First, data enhancement is implemented in the training strategy to ensure the model’s efficient learning and generalization ability in complex environments; then the Coordinate Attention mechanism is introduced to highlight the key features of the image and improve detail detection; Secondly, the Bidirectional Feature Pyramid Network structure is used to optimize the feature fusion and strengthen the information exchange between different layers through bidirectional connectivity; then, the loss function is optimized to improve the bounding box localization accuracy; and finally, the combined with the binocular vision stereo matching algorithm Semi-Global Block Matching to obtain the spatial location information of Kiwifruit. …”
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