Prevalence of keratoconus and keratoconus suspect, and their characteristics on corneal tomography in a population-based study. by Hiroyuki Namba, Naoyuki Maeda, Hiroshi Utsunomiya, Yutaka Kaneko, Kenichi Ishizawa, Yoshiyuki Ueno, Koichi Nishitsuka

“…Keratoconus (KC) is a progressive corneal disorder resulting in severe visual impairment. We aimed to determine the prevalence and corneal tomographic characteristics of KC and keratoconus suspect (KCS) in a population-based study, and to construct discrimination models with or without corneal tomography. …”
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GTExome: Modeling commonly expressed missense mutations in the human genome. by Jill Hoffman, Henry Tan, Clara Sandoval-Cooper, Kaelyn de Villiers, Scott M Reed

“…The user can assess this information and then select from available experimental or computationally predicted structures of native proteins to create, visualize, and download a model of the mutated protein using Fast and Accurate Side-chain Protein Repacking (FASPR). …”
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PltRNAdb: Plant transfer RNA database. by Morad M Mokhtar, Achraf El Allali

“…Efforts also extended to the creation of PltRNAdb (https://bioinformatics.um6p.ma/PltRNAdb/index.php), a data source for tRNA genes from 256 plant species. PltRNAdb website allows researchers to search, browse, visualize, BLAST, and download predicted tRNA genes. …”
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Unsupervised domain adaptation multi-level adversarial network for semantic segmentation based on multi-modal features by Zeyu WANG, Shuhui BU, Wei HUANG, Yuanpan ZHENG, Qinggang WU, Huawen CHANG, Xu ZHANG

“…In order to solve the problem of the distribution differences of visual, spatial, and semantic features between domains in domain adaptation, an unsupervised domain adaptation multi-level adversarial network for semantic segmentation based on multi-modal features was proposed.Firstly, an attentive fusion semantic segmentation network with three-layer structure was designed to learn the above three types of features from the source domain and target domain, respectively.Secondly, a self-supervised learning method jointing distribution confidence and semantic confidence was introduced into the single-level adversarial learning, so as to achieve the distribution alignment of more target domain pixels in the process of minimizing the distribution distance of the learnt features between domains.Finally, three adversarial branches and three adaptive sub-networks were jointly optimized by the multi-level adversarial learning method based on multi-modal features, which could effectively learn the invariant representation between domains for the features extracted from each sub-network.The experimental results show that compared with existing state-of-the-art methods, on the datasets of GTA5 to Cityscapes, SYNTHIA to Cityscapes, and SUN-RGBD to NYUD-v2 the proposed network achieves the best mean intersection over union of 62.2%, 66.9%, and 59.7%, respectively.…”
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Multilingual performance of a multimodal artificial intelligence system on multisubject physics concept inventories by Gerd Kortemeyer, Marina Babayeva, Giulia Polverini, Ralf Widenhorn, Bor Gregorcic

“…Furthermore, the AI performs worse on items requiring visual interpretation of images than on those that are purely text-based. …”
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Progress in digital and intelligent technologies for complex giant systems in green coal development by Guofa WANG, Jianzhong ZHANG, Zaibin LIU, Yihui PANG, Tong WANG, Cong SANG

“…Digitized all elements of coal mines, and completed the precise real-time collection, networked transmission, standardized integration, visual display, automated operation, and intelligent service of all information in coal mines as a digital intelligent agent. …”
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Exposure computational models with voxel phantoms coupled to EGSnrc Monte Carlo code by José Wilson Vieira, Viriato Leal Neto, Pedro Henrique Avelino de Andrade, Alex Cristóvão Holanda de Oliveira, Vanildo Júnior de Melo Lima, Isabelle Viviane Batista de Lacerda, Luís Rodrigo Dandrada, Arykerne Nascimento Casado da Silva, William de Souza Santos, Ivan Eufrázio de Santana, Whoody Alem Wanderley Araripe Farias, Larissa Cristina Silva dos Santos, Fernanda Gonçalves Oliveira, Fernando Roberto de Andrade Lima

“…In computational dosimetry of ionizing radiation, the energy deposited in radiosensitive organs and tissues is evaluated when an anthropomorphic simulator (phantom) is irradiated using Exposure Computational Models (ECMs). An ECM is a virtual scene with a phantom positioned mathematically relative to a radioactive source. …”
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Identification of low-count, low-resolution gamma spectral radionuclide using 2DCNN-BiLSTM neural network by Shu-Xin Zeng, Rui Shi, Guang Yang, Xian-Guo Tuo, Xiong Zeng, Ya-Nan Shang, Zhou Wang, Heng Zhang

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Oxide semiconductor based deep‐subthreshold operated read‐out electronics for all‐printed smart sensor patches by Jyoti Ranjan Pradhan, Sushree Sangita Priyadarsini, Sanjana R. Nibgoor, Manvendra Singh, Subho Dasgupta

“…Notably, the entire smart sensor patch is demonstrated to operate at a low supply voltage of ≤2 V, thereby ensuring that it can be an on‐chip energy source compatible and standalone detection unit.…”
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ReflectDetect: A software tool for AprilTag-guided in-flight radiometric calibration for UAV-mounted 2D snapshot multi-camera imagery by Luca Joshua Francis, Lewis Gabriel B. Geissler, Nathan Okole, Bela Gipp, Cyrill Stachniss, René Heim

“…ReflectDetect is available through a command-line interface and open-source (https://github.com/reflectdetect/reflectdetect). …”
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A comprehensive review of microplastic pollution in freshwater and marine environments by Irene Monica Jaikumar, Majesh Tomson, Arun Meyyazhagan, Balasubramanian Balamuralikrishnan, Rathinasamy Baskaran, Manikantan Pappuswamy, Hesam Kamyab, Elham Khalili, Mohammad Farajnezhad

“…The wastewater treatment plants aren't designed to filter microplastics from the source and this results in microplastics polluting all water resources. …”
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Ti3C2Tx@Pt nanocomposite based colorimetric and electrochemical dual-mode platform for glucose detection by Xuming Sun, Mingyan Zhang, Jinlong Chang, Linyan Xie, Qiongqiong Ren, Wenshuai Jiang, Zhen Jin, Shiqi Pan, Xiuli Yang, Wu Ren

“…Glucose is the main source of energy in cellular metabolism and is essential for normal cellular function and growth. …”
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Using a knowledge representation logic to estimate the availability of Imbrasia epimethea (Lepidoptera: Saturniidae), an important edible insect in Subsaharan Africa by Komi M. Agboka, José T.C. Ouaba, Felix Meutchieye, Timoléon Tchuinkam, Tobias Landmann, Elfatih M. Abdel-Rahman, Saliou Niassy, Henri E.Z. Tonnang

“…This research offers a foundation for further investigations on sustainable food production and the promotion of edible insects as a viable protein source.…”
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Designing an E-Bike City: An automated process for network-wide multimodal road space reallocation by Lukas Ballo, Martin Raubal, Kay W. Axhausen

“…The outputs can be visualized on a map and used in common transport simulation toolkits. …”
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Research Progress of Mine Ecological Restoration Technology by Yue Xiang, Jiayi Gong, Liyong Zhang, Minghai Zhang, Jia Chen, Hui Liang, Yonghua Chen, Xiaohua Fu, Rongkui Su, Yiting Luo

“…Using the SCI literature indexed by the Web of Science database as the data source, the research status and hotspots in the field of mine ecological restoration are displayed through the visual analysis of CiteSpace and the progress of mine ecological restoration technology this year is systematically summarized. …”
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Reproducibility of in vivo electrophysiological measurements in mice by International Brain Laboratory, Kush Banga, Julius Benson, Jai Bhagat, Dan Biderman, Daniel Birman, Niccolò Bonacchi, Sebastian A Bruijns, Kelly Buchanan, Robert AA Campbell, Matteo Carandini, Gaelle A Chapuis, Anne K Churchland, M Felicia Davatolhagh, Hyun Dong Lee, Mayo Faulkner, Berk Gerçek, Fei Hu, Julia Huntenburg, Cole Lincoln Hurwitz, Anup Khanal, Christopher Krasniak, Petrina Lau, Christopher Langfield, Nancy Mackenzie, Guido T Meijer, Nathaniel J Miska, Zeinab Mohammadi, Jean-Paul Noel, Liam Paninski, Alejandro Pan-Vazquez, Cyrille Rossant, Noam Roth, Michael Schartner, Karolina Z Socha, Nicholas A Steinmetz, Karel Svoboda, Marsa Taheri, Anne E Urai, Shuqi Wang, Miles Wells, Steven J West, Matthew R Whiteway, Olivier Winter, Ilana B Witten, Yizi Zhang

“…To address this, we formed a multi-lab collaboration using a shared, open-source behavioral task and experimental apparatus. …”
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AetherGeo: A Spectral Analysis Interface for Geologic Mapping by Gonçalo Santos, Joana Cardoso-Fernandes, Ana C. Teodoro

“…On top of this, all results can be visualized within the software, and some tools allow for the inspection and comparison of spectra and spectral libraries. …”
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High-resolution portable bluetooth module for ECG and EMG acquisition by Luiz E. Luiz, Salviano Soares, Antonio Valente, João Barroso, Paulo Leitão, João P. Teixeira

“…Methodology: A modular biosignal acquisition system with up to 8 channels, 24-bit resolution and configurable sampling (1–4 kHz) is proposed, featuring per-channel gain/source adjustments, internal MUX-based reference drive, and visual electrode integrity monitoring; Bluetooth® transmits data via a bit-wise packet structure (83.92% smaller than JSON, 7.28 times faster decoding with linear complexity based on input size). …”
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EyeUnderstand: Dashboard for Gaze and Deep-Learning Driven Comprehension Estimation in Online Lectures by Ko Watanabe, Gitesh Gund, Jayasankar Santhosh, Haruka Sakagami, Yuki Matsuda, Andreas Dengel, Shoya Ishimaru

“…We also introduce EyeUnderstand, the web-based application for visualizing the results of the comprehension estimation. …”
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GlacioTools: Streamlining Glacier Feature Monitoring and Reporting in QGIS by S. Fajardo Turner, F. Gaspari, F. Migliaccio

“…However, analyzing and visualizing glacier changes remains a time-consuming process in Geographic Information System (GIS) environments.…”
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