Terrestrial Groundwater Drives Coastal Ecosystem Shifts by D. Pratt, J. A. Guimond, E. S. Bacmeister, S. Fagherazzi, H. A. Michael

“…Abstract Saltwater intrusion (SWI) is accelerating along coastlines globally. This process is visually evident in low‐lying regions as conversion of forests and agricultural fields to saltmarsh. …”
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Evaluation of Flange Grease on Revenue Service Tracks Using Laser-Based Systems and Machine Learning by Aditya Rahalkar, S. Morteza Mirzaei, Yang Chen, Carvel Holton, Mehdi Ahmadian

“…It offers an alternative to the current empirical and subjective methods for lubrication assessment, in which track engineers’ periodic visual inspections are used to evaluate the condition of the rail. …”
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A Study of Multimodality Imaging Features of Brown Tumor or Osteitis Fibrosa Cystica by Dhruv Patel, Abhijeet Ashok Salunke, Nandlal Bharwani, Ritesh Suthar, Umank Tripathi, M. Varun, Dipesh Dave, Keval Patel, Vikas Warikoo, Jebin Aron, Rahul Shah, Shashank J. Pandya

“…Preoperative average of VAS score in this patients was 67 which was decreased to as low as 24. We performed paired t-tests on the blood investigation values and Visual Analog Scale (VAS) scores for all patients. …”
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Prognostic prediction model for Chinese uveal melanoma patients based on matrix metalloproteinase-2 and -28 expression levels in the tumor by Yu-Ning Chen, Jing-Ying Xiu, Han-Qing Zhao, Jing-Ting Luo, Qiong Yang, Yang Li, Wen-Bin Wei

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A techno-economic assessment of power-to-gas to produce hydrogen by TALOS by Matthew Hawkins, Daniel Mills, Muzaffar Bandarkar, Peter Ackroyd, Farouq Saifudin, George Aggidis, Giuseppe Bagnato

“…The transition toward a low-carbon energy system encourages academicians to research innovative energy solutions. …”
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Multifrequency image reconstruction for electrical impedance tomography by Battistel Alberto, Wilkie Jack, Chen Rongqing, Möller Knut

“…However, the EIT image reconstruction is a severely ill-posed problem that gives low spatial resolution where only large variations in tissue conductivity can be visualized. …”
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Sensory Marketing Strategies to Enhance Elderly Customer Satisfaction: A Study at Kunokini Café & Resto by Adelia Rizma Yuniar, Lia Nirawati

“…They prefer non-glare lighting for visual clarity, soft-textured meals for easier consumption, low-volume music for a relaxed atmosphere, and spacious seating for enhanced physical comfort. …”
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From Photophobia to Achromatopsia. How to Establish the Correct Diagnosis by M. F. Shurygina, A. M. Khoteeva, I. A. Mishina, V. A. Pismenskaya

“…Clinical symptoms include photophobia, nystagmus, low best corrected visual acuity, complete or incomplete color vision. …”
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Measuring place rather than space: integrating landscape qualities for the urban–rural gradient using people’s perceptions and machine learning by Michal Switalski, Maarten Van Strien, Adrienne Grêt-Regamey

“…Regression models, dimensionality reduction and clustering algorithms were used to uncover patterns between perception (subjective) and spatial (objective) components such as land use, accessibility to services or low level visual features. The results show that perception of spaces is a fundamental component of place and people’s subjective valuations can be directly combined with other spatial indicators to produce a more nuanced understanding of complex urbanisation patterns. …”
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Ultrastructure of hyperfunctioning parathyroid glands: Does it explain various patterns of 99mTc-sestamibi uptake by Abdelhamid Elgazzar, Jehoran Anim, Shorouk Dannoon, Medhat Farghaly

“…The three false-negative scans had low-to-moderate mitochondrial content. 99mTc-MIBI uptake is related to the mitochondrial content of the parathyroid adenoma cells.…”
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UniText: A Unified Framework for Chinese Text Detection, Recognition, and Restoration in Ancient Document and Inscription Images by Lu Shen, Zewei Wu, Xiaoyuan Huang, Boliang Zhang, Su-Kit Tang, Jorge Henriques, Silvia Mirri

“…Processing ancient text images presents significant challenges due to severe visual degradation, missing glyph structures, and various types of noise caused by aging. …”
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Depression restoration in university students: Data-driven insights across three types of campus greennessOSF by Chaoyi Cui, Qianchen He, Huiming Liu

“…The data allow for a robust investigation into how different campus spatial configurations and green space attributes—such as accessibility, quality, and visual appeal—relate to student mental well-being. …”
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Cluster-driven non-uniform characteristic analysis of underwater target acoustic scattering field by Tianyang Xu, Hongjian Jia, Jixing Qin

“…Secondly, the t-distributed stochastic neighbor embedding algorithm is employed to improve the internal connection of the feature vector in the low-dimensional feature space and to construct the visualized feature space. …”
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Toward automatic and reliable evaluation of human gastric motility using magnetically controlled capsule endoscope and deep learning by Xueshen Li, Yu Gan, David Duan, Xiao Yang

“…We have achieved high accuracy (0.8882), F1 (0.8192), and AUC scores (0.9400) for detecting human gastric peristalsis, and low error rate (8.36%) in measuring peristalsis periods from the clinical dataset. …”
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Identifikasi Morfologi Tumbuhan Kantong Semar (Nepenthes Sp.) Sebagai Bahan Ajar Tumbuhan Tingkat Tinggi Di Kawasan Wisata Gunung Galunggung Kabupaten Tasikmalaya by Rinaldi Rizal Putra, Rita Fitriani

“…Nepenthes are known as tropical plants that can live and survive in extreme conditions with low nutrients. These plants are classified into carnivorous plants.  This research was aimed to identify various species of Nepenthes in Tasikmalaya Regency based on morphological characters. …”
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Ptosis: Clinical overview, etiology and treatment by Adam Solarz, Szymon Szabelski, Katarzyna Skibicka, Estera Graczyk, Oliwia Cwalina, Joanna Kryślak, Maciej Sokołowski, Karolina Oskroba, Jakub Filip Turcza, Małgorzata Woś

“… Ptosis is a condition characterized by a low setting of the upper eyelid caused by congenital or acquired dysfunction of the levator muscle. …”
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A Customizable Face Generation Method Based on Stable Diffusion Model by Wenlong Xiang, Shuzhen Xu, Cuicui Lv, Shuo Wang

“…The model is improved upon the Stable Diffusion model by incorporating LoRA (Low-Rank Adaptation) principles for style constraints. …”
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Tracing the evolution of green logistics: A latent dirichlet allocation based topic modeling technology and roadmapping. by Ruijundi Ma, Yong Jin Kim

“…Finally, this paper visualizes the development roadmap of green logistics and explores the progression among three stages. …”
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Image denoising algorithm based on multi-channel GAN by Hongyan WANG, Xiao YANG, Yanchao JIANG, Zumin WANG

“…Aiming at the issue that the noise generated during image acquisition and transmission would degrade the ability of subsequent image processing, a generative adversarial network (GAN) based multi-channel image denoising algorithm was developed.The noisy color image could be separated into red-green-blue (RGB) three channels via the proposed approach, and then the denoising could be implemented in each channel on the basis of an end-to-end trainable GAN with the same architecture.The generator module of GAN was constructed based on the U-net derivative network and residual blocks such that the high-level feature information could be extracted effectively via referring to the low-level feature information to avoid the loss of the detail information.In the meantime, the discriminator module could be demonstrated on the basis of fully convolutional neural network such that the pixel-level classification could be achieved to improve the discrimination accuracy.Besides, in order to improve the denoising ability and retain the image detail as much as possible, the composite loss function could be depicted by the illustrated denoising network based on the following three loss measures, adversarial loss, visual perception loss, and mean square error (MSE).Finally, the resultant three-channel output information could be fused by exploiting the arithmetic mean method to obtain the final denoised image.Compared with the state-of-the-art algorithms, experimental results show that the proposed algorithm can remove the image noise effectively and restore the original image details considerably.…”
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Word recognition during movement under simulated weather conditions. by Francisco Rocabado, Natasha Alonso-Bernal, Jon Andoni Duñabeitia

“…Results showed that high-frequency words were recognized better than low-frequency counterparts, reaffirming the strength of the frequency effect, even under dynamic situations. …”
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