Benthos-DETR: a high-precision efficient network for benthic organisms detection by Weibo Rao, Gang Chen, Yifei Zhang, Jue Cang, Shusen Chen, Chenyang Wang

“…This study proposes Benthos-DETR, a benthic organisms detection network based on the RT-DETR network. In the backbone of Benthos-DETR network, the Efficient Block with the C2f module reinforces the shallow feature extraction operation in Benthos-DETR, enhancing the algorithm’s multi-scale perception. …”
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Application of different edge detection methods for faults identification in Anza Basin, Kenya by Gege Li, Qing Chen, Bingqiang Yuan, Xianfeng Tan, Hao Chen, Xiaoyu Huang, Lang Pan

“…However, the traditional potential field boundary identification method has limited ability to detect the boundaries of buried deep geological bodies. …”
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An enhanced lightweight model for apple leaf disease detection in complex orchard environments by Ge Wang, Wenjie Sang, Fangqian Xu, Yuteng Gao, Yue Han, Qiang Liu

“…However, in complex natural environments, factors such as light variations, shading from branches and leaves, and overlapping disease spots often result in reduced accuracy in detecting apple diseases. To address the challenges of detecting small-target diseases on apple leaves in complex backgrounds and difficulty in mobile deployment, we propose an enhanced lightweight model, ELM-YOLOv8n.To mitigate the high consumption of computational resources in real-time deployment of existing models, we integrate the Fasternet Block into the C2f of the backbone network and neck network, effectively reducing the parameter count and the computational load of the model. …”
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Novel Pyramidal Bidirectional Gated Vision Transformer for Rice Leaf Disease Detection by Ramesh Shunmugam, Sumendra Yogarayan, Siti Fatimah Abdul Razak, Md. Shohel Sayeed

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Deep Attention Networks With Multi-Temporal Information Fusion for Sleep Apnea Detection by Meng Jiao, Changyue Song, Xiaochen Xian, Shihao Yang, Feng Liu

“…Traditional machine learning methods for SA detection depend on hand-crafted features, making feature selection pivotal for downstream classification tasks. …”
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Detection of fetal congenital heart defects on three-vessel view ultrasound videos by Netzahualcoyotl Hernandez-Cruz, Olga Patey, Bojana Salovic, Divyanshu Mishra, Md Mostafa Kamal Sarker, Aris Papageorghiou, J. Alison Noble

“…Background:: Detecting congenital heart defects (CHDs) is challenging due to the difficulty of identifying subtle abnormalities in fetal heart structures. …”
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Exploring the promising role of internet of things in urban water systems: a comprehensive global analysis of insights, trends, and research priorities by Shaher Zyoud

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Relationship of the Representatives of Eight Genera of Siphonaptera Order and Yersinia Pestis from Tuva Natural Plague Focus by L. P. Bazanova, A. Yu. Nikitin

“…Objective – the comparative analysis of frequency of «conglomerate» and «block» formations by Y. pestis in fleas parasitizing on the main and minor carriers in the Tuva natural focus. …”
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Data traceability mechanism based on consortium chain by Shoucai ZHAO, Lifeng CAO, Xuehui DU

“…With the unprecedented growth in the speed of data generation and circulation in the era of big data, the emergence of blockchain technology provides a new solution for data authenticity verification.However, with the increasing demand for data flow between different blockchains, new security issues arise.Cross-chain data transmission can lead to data leakage, and detecting data leakage caused by illegal access becomes challenging.To address these problems, a data traceability mechanism based on a consortium chain was proposed.A cross-blockchain data traceability model was designed, incorporating private data pipelines to ensure the security of cross-chain data transmission.User behaviors were recorded through authorization and access logs, ensuring the traceability of illegal unauthorized access.To improve the efficiency of data traceability and query, an on-chain and off-chain synchronous storage mechanism was adopted.The state of data flow before each transaction was encrypted and stored in the database, and its index was stored in the blockchain transaction.This enables a one-to-one correspondence between on-chain and off-chain data.Additionally, Merkle trees were introduced into the block body to store block summaries, enhancing the efficiency of block legitimacy verification.Based on the data storage form and cross-chain data interaction mechanism, a data traceability algorithm was designed.The traceability results were displayed in the form of an ordered tree.An experimental environment for consortium chain traceability was built using fabric, targeting the cross-domain data traceability scenario in the e-commerce industry.The GO language was used to simulate and test the data traceability performance with a large number of blocks and transactions.The results demonstrate that with the increasing number of blocks and transactions, the proposed data traceability mechanism maintains satisfactory performance.…”
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Cu(II) and Ni(II) Interactions with the Terminally Blocked Hexapeptide Ac-Leu-Ala-His-Tyr-Asn-Lys-amide Model of Histone H2B (80–85) by Katerina Panagiotou, Maria Panagopoulou, Tilemachos Karavelas, Vassiliki Dokorou, Andrew Hagarman, Jonathan Soffer, Reinhard Schweitzer-Stenner, Gerasimos Malandrinos, Nick Hadjiliadis

“…The imidazole pyrrole N(1) ionization (but not coordination) was also detected in species CuH-4L present in solution above pH∼11.…”
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Estudio preliminar para el diseño de una máquina productora de bloques con suelos estabilizados. // Preliminary study for the design of a block machine producer with stabilized soi... by A. Díaz Nimo, F. Aguilar Parés

“…Nevertheless, before building<br />the prototype you can model the equipment in order to detect problems that can arise in the initial proposal. …”
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Estudio preliminar para el diseño de una máquina productora de bloques con suelos estabilizados. // Preliminary study for the design of a block machine producer with stabilized soi... by A. Díaz Nimo, F. Aguilar Parés

“…Nevertheless, before building<br />the prototype you can model the equipment in order to detect problems that can arise in the initial proposal. …”
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Reduced Concentrations of NSE, S100β, Aβ, and Proinflammatory Cytokines in Elderly Patients Receiving Ultrasound-Guided Combined Lumbar Plexus-Sciatic Nerve Block during Hip Replac... by Yi Zhang, Liya Jiang, Yang Han

“…In this retrospective study, 62 elderly patients received combined spinal-epidural anesthesia and 58 elderly patients underwent ultrasound-guided combined lumbar plexus-sciatic nerve block during the surgery. Hemodynamic monitoring including pulse oxygen saturation (SpO2), heart rate and blood pressure, the assessment of pain intensity using Visual Analogue Scale (VAS), cognitive function assessment through Montreal Cognitive Assessment (MoCA) and biomarkers consisting of serum levels of neuron specific-enolase (NSE), S100 beta protein (S100-β), and amyloid beta protein (Aβ), as well as immune function by interleukin-6 (IL-6), interleukin-1β (IL-1β), tumor necrosis factor-α (TNF-α), and high sensitivity C-reactive protein (hs-CRP) were detected in this study. …”
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SMS Spam Detection System Based on Deep Learning Architectures for Turkish and English Messages by Hakan Can Altunay, Zafer Albayrak

“…Companies use SMS for advertisement purposes due to the fact that e-mail filtering systems have rooted, short message systems are being undersold by the operators, and spam detection and blocking systems used for short messages are ineffective. …”
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Analysis of Interference Magnetic Field Characteristics of Underwater Gliders by Taotao Xie, Dawei Xiao, Jiawei Zhang, Qing Ji

“…The study found that during full operational states, the motor’s operation generates interference signals at 17 Hz; during attitude adjustment, the movement of the moving block generates significant interference magnetic fields, especially during the forward and backward motion of the block, where interference signals at 20 Hz are particularly pronounced. …”
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Detection and Analysis of S-Acylated Proteins via Acyl Resin–Assisted Capture (Acyl-RAC) by Dina Abdulrahman, Michael Veit

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Research on Rail Flaw Echo Accurate Location Method Based on Interface Wave Tracking Technology by XIA Lang, CAO Jingwei, WANG Pin, LI Hongliang

“…Taking 45° and 70°probes as examples, flaw echo localization based on interface wave tracking technology and the effectiveness of interface wave tracking technology under different pressure conditions of detection wheels are analyzed. An artificial flaw test block is designed, and flaw detection experiment is carried out and verified. …”
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S&#x2082;Head: Small-Scale Human Head Detection Algorithm by Improved YOLOv8n Architecture by Yuteng Sui, Xinghua Shan, Linlin Dai, Hui Jing, Bo Li, Jianjun Ma

“…Existing head detection algorithms face challenges in accurately detecting small and densely packed head targets, resulting in lower detection accuracy in complex scenarios. …”
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Research on Mine-Personnel Helmet Detection Based on Multi-Strategy-Improved YOLOv11 by Lei Zhang, Zhipeng Sun, Hongjing Tao, Meng Wang, Weixun Yi

“…Secondly, a novel C3K2_FE module was designed that integrates Faster_block and ECA attention mechanisms. This design aims to improve detection accuracy while also accelerating detection speed. …”
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Protocol for tyramide signal amplification immunohistochemical detection of Notch1 signaling in the vascular system by Ying Lin, Shekhar Singh, Chong Xu, Zeyu Wang, Cailin Feng, Dongyang Jiang, Lingfeng Luo, Weiming Li, Wenliang Che, Guofu Zhu

“…Here, we present a protocol for tyramide signal amplification (TSA) immunohistochemistry, tailored explicitly for detecting Notch signaling components in vascular tissues. …”
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