One-step loop-mediated isothermal amplification system for Mycobacterium marinum detection by Kayo Okumura, Yuji Miyamoto, Satoshi Mitarai, Manabu Ato

“…However, there is currently no simple identification method to distinguish between these two species. The one-step loop-mediated isothermal amplification method developed in this study represents a rapid diagnostic approach that yields results in a short time frame and does not necessitate specialized precision instruments, as the results can be visually determined. …”
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Spatially-Aware Loss Functions for GAN-Driven Super-Resolution by Xijun Wang, Santiago Lopez-Tapia, Xinyi Wu, Rafael Molina, Aggelos K. Katsaggelos

“…This method consistently guides the training process towards generating visually pleasing SR images and video frames, substantially mitigating artifacts and noise, ultimately leading to enhanced perceptual quality.…”
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Retinal Vascular Permeability in Diabetic Subjects without Retinopathy Compared with Mild Diabetic Retinopathy and Healthy Controls by Sarah R. Vavrek, Elif Kayaalp Nalbant, PhD, Nicholas Konopek, Nicole L. Decker, Amani A. Fawzi, MD, William F. Mieler, MD, Kenneth M. Tichauer, PhD, Jennifer J. Kang-Mieler, PhD

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Enhanced Electrokinetic Remediation of Uranium-contaminated Soil Using Composite Electrolytes by ZHOU Shukui1, LI Yihao1, LIU Yingjiu1, DUAN Yi1, , ZHOU Pengfei2, WANG Jidi1

“…Electrokinetic remediation is widely recognized as an effective method for remediating soil contaminated with heavy metals. …”

A Comparative Study of Discursive Space in ritual structure and forms of the Cinematic based on Gilbert Doran's theory of Mythocritique in Lament of the Snow by Fereshteh Paidar Nobakht, Minoo Khany

“…The current research examines the relationship between form in cinema and the structure of ritual and archetypal systems based on Gilbert Doran's method of myth analysis. The main issue is how the creative forces of imagination and perception interact with visual forms. …”
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MS-RRBR: A Multi-Model Synergetic Framework for Restricted and Repetitive Behavior Recognition in Children with Autism by Yonggu Wang, Yifan Shao, Zengyi Yu, Zihan Wang

“…In this study, we explore the synergy of visual foundation models and multimodal large language models (MLLMs), proposing a Multi-Model Synergistic Restricted and Repetitive Behavior Recognition method (MS-RRBR). …”
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Developing interactive printing techniques using ghostly printing by Maryam Mohammed Mutib Alamari, Razan Mohammed Al-Subaie

“…The study concluded that ghostly printing offers a safe and environmentally friendly method to engage audiences in the creative process using accessible materials. …”
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Research on Virtual Color Restoration of Complex Building System Based on Discrete Wavelet Transform by Chunqiao Song, Xutong Wu

“…The results show that the combination of image sample texture synthesis and segmentation matching method used in this paper can effectively solve the problem of color unevenness. …”
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Noise Removal from Images of Lunar Areas in Permanent Shadow Using a Combination of Physical Noise Models and Deep Learning by Haiyan Pan, Binbin Chen, Zhonghua Hong, Ruyan Zhou, Yun Zhang, Yanling Han, Jiang Tao

“…Experimental results demonstrate that the proposed method outperforms existing methods in restoring terrain details and provides better quantitative and visual outcomes. …”
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Line-labelling enhanced CNNs for transparent juvenile fish crowd counting by Dianzhuo Zhou, Hequn Tan, Yuxiang Li, Yuxuan Deng, Ming Zhu

“…Counting accuracy was assessed using heatmap-based visualizations. Experimental results demonstrate that the line-labeling method significantly improves counting accuracy, achieving 97.73 % for Silver Carp and 98.04 % for Tilapia, outperforming conventional point-based annotations in high-density contexts. …”
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Neural Signature and Decoding of Unmanned Aerial Vehicle Operators in Emergency Scenarios Using Electroencephalography by Manyu Liu, Ying Liu, Aberham Genetu Feleke, Weijie Fei, Luzheng Bi

“…This paper explores the brain neural signatures of unmanned aerial vehicle (UAV) operators in emergencies and develops an operator’s electroencephalography (EEG) signals-based detection method for UAV emergencies. We found regularity characteristics similar to classic event-related potential (ERP) components like visual mismatch negativity (vMMN) and contingent negative variation (CNV). …”
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Enhancing Supplier Ealuation and Selection in Supply Chain Using a PROMETHEE-Based Decision-Making Support System by Marzieh Afshari, Hassan Farsijani

“…In order to compare and ensure more certainty of the obtained results, the data of this research, in addition to the mentioned method, was also evaluated with the Fuzzy ANP method. …”
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Contact-Free Cognitive Load Recognition Based on Eye Movement by Xin Liu, Tong Chen, Guoqiang Xie, Guangyuan Liu

“…In this paper, we proposed a method to identify the state of cognitive load by using eye movement data in a noncontact manner. …”
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Autologous Platelet-Rich Fibrin in the Treatment of Refractory Macular Holes by Arif Koytak, Fadime Nuhoglu, Havvanur Bayraktar, Rukiye Ercan, Hakan Ozdemir

“…Purpose. To describe a novel method for the treatment of refractory macular holes. …”
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Multispectral Image Fusion Using Fractional-Order Differential and Guided Filtering by Jinjiang Li, Genji Yuan, Hui Fan

“…Experiments show that the proposed method in this paper can better combine the spectral information and spatial information, as well as obtain satisfactory results in both subjective visual perception and objective object evaluation.…”
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Reconstructing a High Dynamic Range Image With a Deeply Unsupervised Fusion Model by Xinglin Hou, Junchao Zhang, Peipei Zhou

“…According to the experimental results on both the benchmark dataset and the image sequences captured by ourselves, it is demonstrated that the proposed method outperforms the state-of-the-art methods in terms of both objective metrics and visual quality.…”
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Adaptive Convolution Kernels Construction Based on Unsupervised Learning for Underwater Acoustic Detection by Hao Yin, Chao Li, Haibin Wang, Jun Wang, Fan Yin, Zili Qin, Chuxian Wang

“…To address this issue, we propose an adaptive 2D convolution kernel construction method that utilizes an improved k-means clustering algorithm to extract adaptive mainlobe visual patterns from historical BTR data as convolution kernels. …”
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Multi-Modal Prototypes for Few-Shot Object Detection in Remote Sensing Images by Yanxing Liu, Zongxu Pan, Jianwei Yang, Peiling Zhou, Bingchen Zhang

“…Experiments on two common few-shot detection benchmarks demonstrate the effectiveness of our proposed method. In four widely used data splits of DIOR, our method significantly outperforms previous state-of-the-art methods by at most 8.7%.…”
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25G Ultrasonic Vitrectomy in Surgical Treatment of Idiopathic Macular Hole by B. M. Aznabaev, T. I. Dibaev, T. N. Ismagilov

“…We can thus conclude that 25G subtotal ultrasonic vitrectomy with ILM peeling and gas tamponade is an effective IMH treatment method that ensures high visual functions.…”
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Prior-Driven Enhancements in 3D Gaussian Splatting: Normals and Depths Regularization by G. Lee, S. Hong, J. Suh

“…Experimental findings further show that our method enhances geometric accuracy and visual quality, establishing a reliable solution for real-time 3D scene rendering in complex environments.…”
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