SCH-Hunter: A Taint-Based Hybrid Fuzzing Framework for Smart Contract Honeypots by Haoyu Zhang, Baotong Wang, Wenhao Fu, Leyi Shi

“…(iii) For the evaluation of components, we conducted three ablation studies to demonstrate that the proposed modules in SCH-Hunter significantly improve the framework’s detection capability, code coverage, and detection efficiency, respectively.…”
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A New Joint Denoising Algorithm for High-G Calibration of MEMS Accelerometer Based on VMD-PE-Wavelet Threshold by Huiliang Cao, Zekai Zhang, Yu Zheng, Hao Guo, Rui Zhao, Yunbo Shi, Xiujian Chou

“…Recently, the High-G MEMS accelerometer (HGMA) has been used in navigation, mechanical property detection, consumer electronics, and other fields widely. …”
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Education and Symptom Reporting in an mHealth App for Patients With Cancer: Mixed Methods Development and Validation Study by Carolina Muñoz Olivar, Miguel Pineiro, Juan Sebastián Gómez Quintero, Carlos Javier Avendaño-Vásquez, Pablo Ormeño-Arriagada, Silvia Palma Rivadeneira, Carla Taramasco Toro

“…Current cancer therapies, notably chemotherapy, pose challenges due to their side effects. The early detection and management of the side effects are vital but complex. …”
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Comparative study of the profile of supragingival dental plaque and tooth decay in patients with lupus erythematosus and rheumatoid arthritis by Aida Mehdipour, Maryam Masoumi, Roohollah Fateh, Mohammad Aghaali, Faezeh Mohammadidana, Ali Saleh, Alireza Rasouli, Faezeh Kabiri

“…Abstract Background and objectives Systemic lupus erythematosus (SLE) and rheumatoid arthritis (RA) are complex autoimmune diseases that present with a range of systemic and oral manifestations including dental decay and alterations in the oral microbiome profile. …”
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Application of the U-Net Deep Learning Model for Segmenting Single-Photon Emission Computed Tomography Myocardial Perfusion Images by Ahmad Alenezi, Ali Mayya, Mahdi Alajmi, Wegdan Almutairi, Dana Alaradah, Hamad Alhamad

“…Background: Myocardial perfusion imaging (MPI) is a type of single-photon emission computed tomography (SPECT) used to evaluate patients with suspected or confirmed coronary artery disease (CAD). Detection and diagnosis of CAD are complex processes requiring precise and accurate image processing. …”
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A Reef’s High-Frequency Soundscape and the Effect on Telemetry Efforts: A Biotic and Abiotic Balance by Frank McQuarrie, C. Brock Woodson, Catherine R. Edwards

“…Acoustic telemetry is a tool for tracking animals, but transmitted signals from tagged animals are not always detected. Detection efficiency declines with increasing background noise, which can have both abiotic and biotic sources. …”
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Adaptive malware identification via integrated SimCLR and GRU networks by Faisal S. Alsubaei, Abdulwahab Ali Almazroi, Walid Said Atwa, Abdulaleem Ali Almazroi, Nasir Ayub, N. Z. Jhanjhi

“…Abstract Malware has become a big issue for digital infrastructure with the growing complexity and frequency of intrusions; it usually avoids conventional detection systems via obfuscation and dynamic behaviour patterns. …”
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A method for determining fracturing radius of blasting holes based on SF6 gas tracing by Dongxu JIA

“…The fracturing radius, as a key indicator characterizing the energy transfer of mine blasting and the fragmentation effect of rock mass, its precise determination is directly related to the safety and energy efficiency of blasting engineering. However, due to the heterogeneity of complex geological structures, the irreversibility of the dynamic crack evolution mechanism and the limitations of in-situ monitoring technology, there are still significant technical bottlenecks in the in-situ detection of the fracturing radius at present. …”
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Rectified Adam Optimizer and LSTM with Attention Mechanism for ECG-Based Multi-class Classification of Cardiac Arrhythmia by T. Sivaranjani, B. Sasikumar, G. Sugitha

“…The model integrates long-term memory with an attention mechanism to enhance the classification performance of arrhythmia detection. Simulation results demonstrate that the proposed model achieves 99.40% accuracy, outperforming existing models and showing its efficiency in classifying CA for better diagnosis and early treatments.…”
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Graph cut-based segmentation for intervertebral disc in human MRI by Leena Silvoster, R. Mathusoothan S. Kumar

“…Validation of the algorithm on a dataset of 15 patients demonstrates its efficient segmentation performance, achieving a Dice Similarity Coefficient (DSC) of 89%.…”
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Research on Personnel Image Segmentation Based on MobileNetV2 H-Swish CBAM PSPNet in Search and Rescue Scenarios by Di Zhao, Weiwei Zhang, Yuxing Wang

“…By substituting ResNet50 with the more efficient MobileNetV2 as the model backbone, the computational complexity is significantly reduced. …”
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Loading scaffold-mediated multiple signal cycle for ultrasensitive microRNA analysis with low background signal by Zhe Zhang, Qiaoyi Xie, Chenbo Zhu, Huali Shao, Boying Wu

“…Furthermore, the incorporation of four signal amplification cycles confers substantial amplification efficiency, permitting accurate detection of low-abundance miRNAs. …”
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Automated Quantification of Rebar Mesh Inspection in Hidden Engineering Structures via Deep Learning by Yalong Xie, Xianhui Nie, Hongliang Liu, Yifan Shen, Yuming Liu

“…This paper presents an in-depth study of the automated recognition and geometric information quantification of rebar meshes, proposing a deep learning-based method for rebar mesh detection and segmentation. By constructing a diverse rebar mesh image dataset, an improved Unet-based model was developed, incorporating residual modules to enhance the network’s feature extraction capabilities and training efficiency. …”
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YOLOv8 forestry pest recognition based on improved re-parametric convolution by Lina Zhang, Shengpeng Yu, Bo Yang, Shuai Zhao, Ziyi Huang, Zhiyin Yang, Helong Yu

“…Enhancing the efficiency and accuracy of pest detection under resource-limited conditions has thus become a critical issue. …”
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Active Hard Sample Learning for Violation Action Recognition in Power Grid Operation by Lingwen Meng, Di He, Guobang Ban, Guanghui Xi, Anjun Li, Xinshan Zhu

“…Experimental results show significant improvements in model performance and training efficiency, demonstrating the method’s effectiveness in complex power grid environments. …”
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Research progress,key scientific issues,and prospects of segmented fracturing and pressure relief gas drainage technology for coal seam roof horizontal wells by Ke YANG, Zhainan ZHANG, Xinzhu HUA, Wenjie LIU, Xin LYU, Xiaolou CHI, Changcheng WANG, Caiqing LI

“…The segmented fracturing and pressure relief gas drainage technology in the horizontal well of the coal seam roof is a key means to guide the efficient gas extraction in deep, high gas, soft and low permeability coal seams.Based on this, a full lifecycle development concept for the segmented fracturing, pressure relief,and gas drainage engineering of the coal seam roof horizontal well is proposed, including three stages: early scientific planning, mid-term engineering construction, and later safety management.This paper summarizes the research progress on the full life cycle development of segmented fracturing and pressure relief gas drainage in coal seam roof horizontal wells, constructs an overall research framework for key scientific issues related to segmented fracturing and pressure relief gas drainage in coal seam roof horizontal wells, and looks forward to its future development direction.The results show that the expansion of segmented fracturing cracks in the horizontal well of the coal seam roof is extremely complex due to geological factors, construction parameters, and physical properties.It is urgent to comprehensively evaluate the primary and secondary relationships under the influence of multiple factors in crack expansion, and reveal the mechanism of coal seam roof fracturing crack expansion under the influence of multiple factors.Exploring the critical relationship between the coupling of stress, water, temperature, and coal factors on the promotion and inhibition of coalbed methane adsorption, desorption, and migration, and establishing an optimal model for coalbed methane adsorption and desorption under multiple critical indicators, is the key to achieving efficient coalbed methane extraction. …”
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Min3GISG: A Synergistic Feature Selection Framework for Industrial Control System Security with the Integrating Genetic Algorithm and Filter Methods by Saiprasad Potharaju, Swapnali N. Tambe, G. Madhukar Rao, M. V. V. Prasad Kantipudi, Kalyan Devappa Bamane, Mininath Bendre

“…By reducing feature dimensionality without compromising accuracy, the proposed method enhances ICS security, offering a scalable and efficient solution for real-time attack detection.…”
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Study of component features of essential oils of <i>Rosmarinus officinalis</i> and <i>Salvia sclarea</i> of Crimean origin by R. E. Ermachenkov, A. L. Markov, M. M. Agaev, E. V. Burtseva, I. I. Terninko

“…The essential oils were analysed on the software and hardware complex of the gas chromatograph "Crystal 5000.2" with flame ionisation detection. …”
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Federated learning and GWO-enabled consumer-centric healthcare internet of things for pancreatic tumour by Nuha Alruwais, Ghada Moh. Samir Elhessewi, Muhammad Kashif Saeed, Menwa Alshammeri, Othman Alrusaini, Abdulwhab Alkharashi, Samah Al Zanin, Yahia Said

“…In order to get a correct diagnosis and choose the best treatment options before it becomes deadly, early detection and classification of pancreatic tumours are essential. …”
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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

“…This has created challenges in PFAS detection, leading to an urgent need for reliable and selective solid-phase extraction (SPE) materials for PFAS analysis. …”
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