Super-resolution reconstruction technology for full-diameter core nuclear magnetic resonance scanning data: a global non-negative least squares-based approach by Yingying MA, Zebo PENG, Jingzhi CHEN, Fei WU, Xin NIE, Zhongshu LIAO, Gong ZHANG

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Reconstruction of the object inhomogeneity parameters from near-field measurements in microwave tomography problem using neural networks by A.V. Medvedev, M.Yu. Medvedik

“…The field is induced by a point source located outside the body. Materials and methods. …”

Biological properties of cord blood hematopoietic stem cells by S. A. Rumiantsev, E. Yu. Osipova, S. E. Ipatov, T. V. Shamanskaya, O. A. Mayorova, A. G. Rumyantsev

“…Phased developments of the technology of stem cells detection and selection, their proliferation, differentiation and function assessment using cultivation in vitro and in vivo in animal model was described. …”
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Obstacle shape determination by mobile robot sensor system using GP2Y0A (Sharp) type IR distance sensors by V. P. Andreev

“…However, such a sensor can only detect an obstacle and determine а distance to a certain point on its surface. …”
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Influence of Water Immersion on Coal Rocks and Failure Patterns of Underground Coal Pillars Considering Strength Reduction by Haihua Zhu, Peitao Wang, Kewei Zhang, Yijun Gao, Zhenwu Qi, Meifeng Cai

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Experiments on the application of the infrasound method of remote monitoring of snow avalanches in the Khibiny Mountains by A. V. Fedorov, I. S. Fedorov, V. E. Asming, A. Yu. Motorin

“…Visual slope observations are still the main method of avalanche detection. As a result, avalanche statistics, especially in remote mountain areas, remain incomplete. …”
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Genotyping from targeted NGS data based on a small set of SNPs correctly matches patient samples by Deyan Yordanov Yosifov, Christof Schneider, Stephan Stilgenbauer, Daniel Mertens, Eugen Tausch

“…In two cohorts of totally 1441 patients with sequential samples, we could identify 3 sample swaps, 7 mislabelled samples (3 externally and 4 internally) and 1 mistake of unknown origin. We provide an R function for automated detection of sample swaps and mislabelling to the community as a free and open-source tool.…”
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Blind super-resolution network based on local fuzzy discriminative loss for fabric data augmentation by Ning Dai, Xiaohan Hu, Kaixin Xu, Xudong Hu, Yanhong Yuan, Bo Cao, Luhong Shi

“…In the field of fabric defect detection, the development of algorithms has been hindered by issues such as poor quality and limited quantity of open-source datasets. …”
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A novel deep learning technique for multi classify Alzheimer disease: hyperparameter optimization technique by A. S. Elmotelb, Fayroz F. Sherif, A. S. Abohamama, A. S. Abohamama, Mahmoud Fakhr, Amr M. Abdelatif

“…A progressive brain disease that affects memory and cognitive function is Alzheimer’s disease (AD). To put therapies in place that potentially slow the progression of AD, early diagnosis and detection are essential. …”
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Modeling and Analysis of Noise Reduction Method in SPAD-Based LiDAR System by Kai Ma, Tao Yin, Na Tian, Zhe Wang, Tian Zhao, Jian Liu, Nanjian Wu, Liyuan Liu

“…Ambient light interference stands as the primary source of noise encountered by the light detection and ranging (LiDAR) systems based on single-photon avalanche diode (SPAD), which seriously restricts the detection range and accuracy of sensors. …”
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Synergizing Multi-Temporal Remote Sensing and Systemic Resilience for Rainstorm–Flood Risk Zoning in the Northern Qinling Foothills: A Geospatial Modeling Approach by Dong Liu, Jiaqi Zhang, Xin Wang, Jianbing Peng, Rui Wang, Xiaoyan Huang, Denghui Li, Long Shao, Zixuan Hao

“…This framework quantitatively evaluates the nonlinear response mechanisms of town–village systems to flood disasters, emphasizing the synergistic effects of spatial scale, morphology, and functional organization. The proposed framework uniquely integrates three innovative modules: (1) a hybrid risk identification engine combining normalized difference vegetation index (NDVI) temporal anomaly detection and spatiotemporal hotspot analysis; (2) a morpho-functional resilience quantification model featuring a newly developed spatial morphological resilience index (SMRI) that synergizes landscape compactness, land-use diversity, and ecological connectivity through the entropy-weighted analytic hierarchy process (AHP); and (3) a dynamic scenario simulator embedding rainfall projections into a coupled hydrodynamic model. …”
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CLASSIFYING LIVER DISEASE WITH BOOSTING MACHINE LEARNING APPROACHES by Erol Özçekiç, Ümit Yılmaz

“…Liver diseases pose a significant global health challenge due to their impact on metabolic function and the difficulty of early detection. Traditional diagnostic methods such as liver biopsy have limitations due to their invasive nature and high costs. …”
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Spectral domain optical coherence tomography: a better OCT imaging strategy by Zahid Yaqoob, Jigang Wu, Changhuei Yang

“…There are two approaches to SDOCT—one that uses a broadband source and a spectrometer to measure the interference pattern as a function of wavelength and the other that utilizes a narrowband tunable laser that is swept linearly in k ∼ 1/λ space during spectral fringe data acquisition. …”
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Impact of low testing numbers on chronic wasting disease apparent prevalence by Jameson J. Mori, Nelda A. Rivera, William M. Brown, Daniel J. Skinner, Peter E. Schlichting, Jan E. Novakofski, Nohra E. Mateus-Pinilla

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Accelerating two-dimensional electronic spectroscopy simulations with a probe qubit protocol by José D. Guimarães, James Lim, Mikhail I. Vasilevskiy, Susana F. Huelga, Martin B. Plenio

“…We evaluate the computational resources necessary for this protocol in detail, demonstrating its function as a dynamic frequency-filtering method through numerical simulations. …”
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PhotoNeuro: A compact photodetector for synchronization of visual stimulus presentation during behavioural experiments in neuroscience by Xavier Cano-Ferrer, Marcelo J. Moglie, George Konstantinou, Antonin Blot, Gaia Bianchini, Albane Imbert, Petr Znamenskiy, M. Florencia Iacaruso

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The Study of Roadside Visual Perception in Internet of Vehicles Based on Improved YOLOv5 and CombineSORT by LI Xiaohui, YANG Jie, XIA Qin

“…But in practice, it is difficult to achieve both optimal detection accuracy and computational efficiency simultaneously due to limited computing resources. …”
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Boundary-enhanced dual-stream network for semantic segmentation of high-resolution remote sensing images by Xinghua Li, Linglin Xie, Caifeng Wang, Jianhao Miao, Huanfeng Shen, Liangpei Zhang

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Restoration of Turbid Underwater Images of Cobalt Crusts Using Combined Homomorphic Filtering and a Polarization Imaging System by Enzu Peng, Chengyi Liu, Haiming Zhao

“…Marine cobalt-rich crusts, extensively used in industries such as aerospace, automotive, and electronics, are crucial mineral resources located on the ocean floor. To effectively exploit these valuable resources, underwater imaging is essential for real-time detection and distribution mapping in mining areas. …”
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Research on Acoustic Field Correction Vector-Coherent Total Focusing Imaging Method Based on Coarse-Grained Elastic Anisotropic Material Properties by Tianwei Zhao, Ziyu Liu, Donghui Zhang, Junlong Wang, Guowen Peng

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