Utilizing Remote Sensing to Quantify Evapotranspiration: A Case Study of the Saiss Basin (Morocco) by Oumou Abdellah, Essahlaoui Ali, Khrabcha Abdelali, Essahlaoui Narjisse, Alitane Abdennabi, Kassou Amina, El Hafyani Mohammed, Van Rompaey Anton, Gobin Anne

“…This involves resolving the surface energy balance equation by calculating net radiation, soil heat flux, and sensible heat flux. Two satellite images were used at a resolution of 15m: one for January as a wet season and another for July as a dry period. …”
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Statistical measurement of behavioral effects based on multimodal data by Suyan Tan, Yunyi Zhao, Jinjun Wang, Jia Fang

“…In order to demonstrate the role of multimodal data in behavioral effect assessment, the teaching effect of English classroom presentations at a comprehensive university in China is taken as a case study, and the effect of the target behavior was statistically measured based on multimodal data such as students' classroom behavioral videos, images, questionnaires, interviews, and assessment data. …”
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DeepEye: An Automatic Big Data Visualization Framework by Xuedi Qin, Yuyu Luo, Nan Tang, Guoliang Li

“…Data visualization transforms data into images to aid the understanding of data; therefore, it is an invaluable tool for explaining the significance of data to visually inclined people. …”
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The Implications of Weather and Reflectivity Variations on Automatic Traffic Sign Recognition Performance by Mudasser Seraj, Andres Rosales-Castellanos, Amr Shalkamy, Karim El-Basyouny, Tony Z. Qiu

“…Furthermore, we produced several editions of our sign recognition system by gradually increasing the number of training images in order to account for the significance of training resources in recognition performance. …”
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Leveraging deep feature learning for handwriting biometric authentication by Parvaneh Afzali, Abdoreza Rezapour, Ahmad Rezaee Jordehi

“…The designed model is trained with pairs of images, each comprising one authentic and one questioned handwritten word. …”
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Trends and drivers of dissolved organic carbon in major Arctic rivers by Mingxin Song, Jue Huang, Desong Zhao, Yulei Mu

“…In this study, in situ measured datasets and Landsat images were used to construct an efficient remote sensing retrieval model for DOC in Arctic rivers. …”
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Lumbar Ureteral Stenosis due to Endometriosis: Our Experience and Review of the Literature by Salvatore Butticè, Antonio Simone Laganà, Valeria Barresi, Antonino Inferrera, Giuseppe Mucciardi, Antonina Di Benedetto, Carmela Emanuela D'Amico, Carlo Magno

“…Urologic ultrasound showed hydronephrosis of first degree in the left kidney and absence of images related to stones bilaterally. Uro-CT scan evidenced ureteral stenosis at the transition between the iliac and pelvic tracts. …”
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Exploring the potential of aerial drone imagery to distinguish breeding Adélie (Pygoscelis adeliae), chinstrap (Pygoscelis antarcticus) and gentoo (Pygoscelis papua) penguins in An... by Christian Pfeifer, Stefan Knetsch, Jakob Maercker, Osama Mustafa, Marie-Charlott Rümmler, Alexander Brenning

“…Our findings indicate that differentiation is feasible for nearly all the investigated distinguishing features, although the reliability and spatial resolution requirements of the aerial images vary significantly. Consequently, these results enable specific flight planning for optimal species discrimination under the given conditions and serve as the basis for future automated mapping of penguin species using machine learning, facilitating early detection of changes.…”
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Rapid iPSC-derived neuromuscular junction model uncovers motor neuron dominance in amyotrophic lateral sclerosis cytopathy by Hsiao-Chien Ting, Yun-Ting Guo, Hong-Lin Su, Yu-Shuan Chen, Shinn-Zong Lin, Horng-Jyh Harn, Chia-Yu Chang

“…Quantitative analysis of 3D confocal microscopy images revealed a critical role of MNs in initiating ALS-related NMJ cytopathies, characterized by alterations in the volume, number, intensity, and distribution of acetylcholine receptors, ultimately leading to impaired muscle contractions. …”
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A Social Media Dataset and H-GNN-Based Contrastive Learning Scheme for Multimodal Sentiment Analysis by Jiao Peng, Yue He, Yongjuan Chang, Yanyan Lu, Pengfei Zhang, Zhonghong Ou, Qingzhi Yu

“…In this paper, we constructed a new dataset, SM-MSD, for sentiment analysis in social media (SAS) that differs significantly from conventional corpora, comprising 10K instances of diverse data from Twitter, encompassing text, emoticons, emojis, and text embedded in images. This dataset aims to reflect authentic social scenarios and various emotional expressions, and provides a meaningful and challenging evaluation benchmark for multimodal sentiment analysis in specific contexts. …”
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MambaShadowDet: A High-Speed and High-Accuracy Moving Target Shadow Detection Network for Video SAR by Xiaowo Xu, Tianwen Zhang, Xiaoling Zhang, Wensi Zhang, Xiao Ke, Tianjiao Zeng

“…To handle these issues, this paper proposes MambaShadowDet, a novel lightweight deep learning (DL) detector based on a state space model (SSM), dedicated to high-speed and high-accuracy moving target shadow detection in video SAR images. By introducing SSM with the linear complexity into YOLOv8, MambaShadowDet effectively captures the global feature dependencies while relieving computational load. …”
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Effect on the Process of Biomethanogenesis of Pre-Treatment of Wheat Straw by the High Intensity High-Frequency Electromagnetic Field by Zablodsky N., Klendiy P., Dudar O.

“…The purpose of the researches is the experimental determination of the effect of pre-treatment with the high-frequency electromagnetic field of high intensity on the appearance of deformations and structural rearrangements in the cells of wheat straw and on the intensity of biogas output.The set goal is achieved by the way of solving the following issues: obtaining chopped straw when it is grinding on a laboratory grinder to the fraction with average sizes of 5.2 mm x 1.5 mm and soaking in tap water for 15 minutes; measurement of distribution of the specific power of the electromagnetic field in the area where the samples of crushed wheat straw are located; comparison of images of the structure of straw under a light microscope for samples after influence by the high-frequency electromagnetic field of high intensity and control samples that were not exposed to such influence; carrying out fermentation experiments and researches of the process of biogas output within 20 days of a mixture of straw and inoculum for options with pre-treatment of wheat straw by the electromagnetic field of a Tesla’s transformer and without treatment by field. …”
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Light-YOLO: a lightweight detection algorithm based on multi-scale feature enhancement for infrared small ship target by Ji Tang, Xiao-Min Hu, Sang-Woon Jeon, Wei-Neng Chen

“…Additionally, a Multi-Scale Feature Enhancement Module (MFEB) is introduced to refine focus on low-level features through multi-scale and selection strategies, mitigating issues such as interference from image backgrounds and noise during small target detection. …”
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A Novel Rat Model of Orthodontic Tooth Movement Using Temporary Skeletal Anchorage Devices: 3D Finite Element Analysis and In Vivo Validation by Neelambar Kaipatur, Yuchin Wu, Samer Adeeb, Thomas Stevenson, Paul Major, Michael Doschak

“…A finite element model of the TSAD in alveolar bone was built using μCT images of rat maxilla to determine the von Mises stresses and displacement in the alveolar bone surrounding the TSAD. …”
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Research on spatial prediction technology for mitigating tunnel inrush disasters under complex geological conditions in China’s Hengduan Mountain Range by Yang Zou, XiuJun Dong, Tao Feng, ZhengXuan Xu, Hailin He, ZhangLei Wu

“…In order to achieve the above goals, through extensive exploratory attempts and experiments, it has been found that the use of multi-source information during the survey period can analyze the sources and channels of tunnel water inrushing, as well as the mechanism of water inrushing disasters; By utilizing high-definition images of the excavation surface, ultra deep directional drilling information data, and geophysical 3D attribute information data obtained during tunnel excavation, modeling, coordinate conversion, and 3D integration can be carried out. …”
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Identifying the Aesthetic Criteria of Academic Library Websites Using a Delphi Panel by Maryam Tavosi, Nader Naghshineh, Mohammad Zerehsaz, Siamak Mahboub

“…SPSS software was used for data analysis, with Cronbach's alpha calculated to assess internal consistency.Findings: A total of 68 aesthetic criteria were identified and grouped into five categories: digital image aesthetics, technical design elements, visual complexity, user-centric aesthetics, and content quality. …”
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Sulfate-Reducing Bacteria: Biofilm Formation and Corrosive Activity in Endodontic Files by Fabiano Luiz Heggendorn, Aline Guerra Manssour Fraga, Dennis de Carvalho Ferreira, Lucio Souza Gonçalves, Viviane de Oliveira Freitas Lione, Márcia Teresa Soares Lutterbach

“…The confocal laser scanning microscopic images indicate the presence of biofilm in the four samples. …”
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Morphological diversity variation of seed traits among 587 germplasm resources of Medicago Genus and 32 germplasm resources of Trigonella Genus by Bingcheng Han, Xueming Dong, Mingyu Li, Zhaoming Wang, Congcong Shi, Qiang Zhou, Zhipeng Liu, Longfeng Yan

“…The results revealed that: (1) there was significant diversity (P < 0.05) in SL, SW, WL, PE, RL, HL, and SY across Medicago species; (2) principal component analysis of the 587 Medicago accessions identified SL, SW, PE, HL, RL, and SY as the primary contributors to morphological diversity; and (3) high-resolution images of seeds from various accessions were captured for future research. …”
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Mitigating the Urban Heat Island Effect in Megacity Tehran by Sahar Sodoudi, Parisa Shahmohamadi, Ken Vollack, Ulrich Cubasch, A. I. Che-Ani

“…The mobile measurements show a park cool island of 6-7 K in 2 central parks, which is also confirmed by satellite images. The effectiveness of three UHI mitigation strategies high albedo material (HAM), greenery on the surface and on the roofs (VEG), and a combination of them (HYBRID) has been studied using simulation with the microscale model ENVI-met. …”
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Dual Strategy Based Improved Swarm Intelligence and Stacked LSTM With Residual Connection for Land Use Land Cover Classification by Vinaykumar Vajjanakurike Nagaraju, Ananda Babu Jayachandra, Andrzej Stateczny, Swathi Holalu Yogesh, Raviprakash Madenur Lingaraju, Balaji Prabhu Baluvaneralu Veeranna

“…Land use land cover (LULC) classification using satellite images is crucial for land-use inventories and environment modeling. …”
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