Implementation and maintenance of breast cancer screening among Chinese rural women: a mixed-methods evaluation based on RE-AIM framework by Huijiao Yan, Qiankun Wang, Le Dang, Xianzhi Duan, Zhirong Bai, Yinhui Feng, Linlin Zhang, Suyala Qimuge, Haiying Gao, Xinchun Wang, Min Sun, Shuxia Ma, Cailing Yan, Fanghui Zhao, Youlin Qiao

“…Increased awareness from prior screenings improved participation and compliance in subsequent programs. A key challenge in program maintenance was the reduction in quality control, supervision, and training efforts. …”
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Convolutional Neural Networks for Automatic Identification of Individuals at Terrestrial Terminals by Darwin Yarango-Farro, Alex Mondragon-Fernandez, Heber I. Mejia-Cabrera, Juan Arcila-Diaz

“…To optimize the search process during real-time identification, the embeddings were transferred to FAISS, a library optimized for similarity search in large-scale datasets. …”
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Pattern transition recognition based on transfer learning for exoskeleton across different terrains by Yifan Gao, Jianbin Zheng, Yang Gao, Ziyao Chen, Jing Tang, Liping Huang

“…The accuracy of pattern transition detection reaches 97.46%, 97.62%, and 98.21% in M0, M20, and M40, respectively. …”
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Sentinel lymph node biopsy for breast cancer using indocyanine green fluorescence visualization by A. D. Zikiryakhodzhaev, E. K. Saribekyan, D. V. Bagdasarova, L. V. Malishava, F. N. Usov, M. V. Starkova

“…The study included 40 breast cancer patients with the prevalence of the cTis-2N0M0 process. 1 ml of Indocyanine Green (ICG) aqueous solution was administered periareolarly and subcutaneously from the tumor side with total drug dose of 5 mg. …”
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Clinical and epidemiological characteristics of scabies in children. A retrospective study by G. A. Kharchenko, O. G. Kimirilova

“…The main signs that make it possible to establish the presence of scabies were: itching of the skin at night, the presence of scabies, detection of the parasite. The detection of scabies in organized preschool and school-age children, when hospitalized in hospitals, may indicate a formal approach to examination for scabies in institutions visited by a child. …”
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Evaluation of Cluster Algorithms for Radar-Based Object Recognition in Autonomous and Assisted Driving by Daniel Carvalho de Ramos, Lucas Reksua Ferreira, Max Mauro Dias Santos, Evandro Leonardo Silva Teixeira, Leopoldo Rideki Yoshioka, João Francisco Justo, Asad Waqar Malik

“…Perception systems for assisted driving and autonomy enable the identification and classification of objects through a concentration of sensors installed in vehicles, including Radio Detection and Ranging (RADAR), camera, Light Detection and Ranging (LIDAR), ultrasound, and HD maps. …”
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A Deep Learning Approach for Extracting Cyanobacterial Blooms in Eutrophic Lakes From Satellite Imagery by Nan Wang, Zhenyu Tan, Chen Yang, Jinge Ma, Hongtao Duan

“…Deep learning (DL) methods offer enhanced capabilities for CyanoHABs detection by learning complex patterns and adapting to varying conditions. …”
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Cross-dataset evaluation of deep learning models for crack classification in structural surfaces by Rashid Taha, Mokji Musa Mohd, Rasheed Mohammed

“…While deep learning models have shown promising results in automating this process, their ability to generalize across diverse datasets remains a significant challenge. …”
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Global burden of colorectal cancer: epidemiology, risk factors by E. A. Medvedeva, G. G. Maryin, A. A. Leshchenko, M. V. Chernogorova, M. B. Dolgova, D. A. Nazarov, S. A. Ivanov

“…Most colon tumors develop as a result of a multistep process involving a number of histological, morphological and genetic changes, the frequency of detection of which increases with the age of the patient. …”
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A Fast and Efficient Denoising and Surface Reflectance Retrieval Method for ZY1-02D Hyperspectral Data by Qiongqiong Lan, Yaqing He, Qijin Han, Yongguang Zhao, Wan Li, Lu Xu, Dongping Ming

“…To address these issues, aiming at fast and efficient processing of Chinese domestic ZY1-02D hyperspectral level-1 data, this study proposes a comprehensive processing framework: (1) To address the low efficiency of traditional bad line detection by visual examination, an automatic bad line detection method based on the pixel grayscale gradient threshold algorithm is proposed; (2) A spectral correlation-based interpolation method is developed to overcome the poor performance of adjacent-column averaging in repairing wide bad lines; (3) A reliable validation method was established based on the spectral band adjustment factors method to compare hyperspectral SR with multispectral SR and in-situ ground measurements. …”
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An Improved V-Net Model for Thyroid Nodule Segmentation by Büşra Yetginler, İsmail Atacak

“…The achievement of the proposed model may make it an effective tool that radiologists can use for thyroid nodule detection.…”
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Multiresonant Fiber Acoustic Sensors with Stabilized Triple-Phase Demodulation for Large Dynamic Ranges by Xingyu Wei, Jinda Du, Junfeng Zhou, Xinlu Deng, Zhiran Yi, Lei Shao, Wenming Zhang

“…We demonstrate exceptional sound detection capabilities across a large dynamic range of pressures, such as ecosystem perception, speech recognition, and shock detection. …”
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End-to-end multiple object tracking in high-resolution optical sensors of drones with transformer models by Yubin Yuan, Yiquan Wu, Langyue Zhao, Yuqi Liu, Yaxuan Pang

“…This innovative method leverages self-attention mechanisms to capture complex inter-object relationships, seamlessly integrating object detection and tracking into a unified process. By utilizing end-to-end training, our approach simplifies the tracking pipeline, leading to significant performance improvements. …”
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Multiple optical path length reflections enhancement based on balloon-type photoacoustic cell for trace gas sensing by Ruiming Wu, Wenjun Ni, Chunyong Yang, Bingze He, Ping Lu, Sixiang Ran, Zhongke Zhao, Perry Ping Shum

“…A novel balloon-type photoacoustic cell (BTPAC) is proposed to facilitate the detection limitations of acetylene (C2H2) gas achieving ppb level. …”
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A Deep Learning Approach for Crop Disease and Pest Classification Using Swin Transformer and Dual-Attention Multi-Scale Fusion Network by R. Karthik, Armaano Ajay, Akshaj Singh Bisht, T. Illakiya, K. Suganthi

“…Deep learning offers a fast and accurate solution to this problem by automating the process of disease and pest detection. This research proposes a new feature fusion-based model that uses two parallel tracks to extract features from plant images. …”
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Instance Segmentation and 3D Pose Estimation of Tea Bud Leaves for Autonomous Harvesting Robots by Haoxin Li, Tianci Chen, Yingmei Chen, Chongyang Han, Jinhong Lv, Zhiheng Zhou, Weibin Wu

“…Quantitative experiments demonstrate that the instance segmentation model achieves an mAP@50 of 92.0% for box detection and 91.9% for mask detection, improving by 3.2% and 3.4%, respectively, compared to the YOLOv8s-seg instance segmentation model. …”
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A green approach for electromembrane extraction of morphine from urine using sodium alginate-g-polyacrylic acid/agarose hydrogel membrane by Elnaz Khodabakhshi, Somayeh Makarem, Mehran Kurdtabar, Saeed Nojavan

“…The method achieved a limit of detection of 0.09 μg/mL and a limit of quantification of 0.28 μg/mL, and was successfully applied for morphine determination in urine sample. …”
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Extracting Features from Oblique Ground-Based Multispectral Images for Monitoring Cotton Physiological Response to Nitrogen Treatments by Vaishali Swaminathan, J. Alex Thomasson, Nithya Rajan, Robert G. Hardin

“…However, improvements in the multispectral alignment process, extensive data collection, and ground-truthing are needed to conclude whether the LC spectra are useful for early nitrogen stress detection in field cotton.…”
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Comparability assessment of the results of thiomersal quantification in adsorbed immunobiological medicinal products by colourimetry and by cold vapor atomic absorption spectrometr... by O. N. Kolesnikova, V. E. Tregubova, O. B. Ustinnikova, A. A. Movsesyants

“…Conclusions: according to the study, it is possible to use the CV AAS procedure for thiomersal quantification in adsorbed immunobiologicals. The established detection limit allows evaluating residual amounts of thiomersal in in-process intermediates during the production of preservative-free immunobilogical dosage forms. …”
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Application of statistical methods for predicting udp-flood attacks by M. V. Tumbinskaya, V. V. Volkov, B. G. Zagidullin

“…Our empirical study was based on the following factors: the lack of effective means of protection against DDoS attacks, the specificity of UDP-flood attacks, and the lack of prediction models that adequately describe the process under study. The aim of this study was to increase the level of security of web resources by means of timely detection of anomalies in their work, detection of information security threats based on analysis and forecasting methods. …”
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