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Calculation and Analysis of the Distribution Characteristics of Groundwater Resources in the Middle Reaches of the Mudanjiang River Basin in China Based on SWAT Model and InVEST Mo...
Published 2025-03-01“…It serves as a reference for the judicious allocation of groundwater resources and the preservation of the local aquatic ecosystem. …”
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A Survey of Physicians and Patients in Pakistan Assessing the Improvement of Visualization of the Cervix, Ease of Use, and Patient Comfort Using a Newly Designed Vaginal Speculum:...
Published 2025-06-01“…There was a strong statistical correlation between clinician visualization of the cervix and ease of use (+0.8234, p < 0.0001), visualization and comfort (+0.8978, p < 0.0001), and ease of use and comfort (+0.9101, p < 0.0001).Conclusion: This new vaginal speculum demonstrated improved cervical visualization and ease of use in a cohort of 100 Pakistani women. …”
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Why Are Other Teachers More Inclusive in Online Learning Than Us? Exploring Challenges Faced by Teachers of Blind and Visually Impaired Students: A Literature Review
Published 2024-09-01“…Recent research has shown that the resources and facilities of educational institutions pose challenges for teachers of visually impaired students (TVISs). …”
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Intercultural practicum: Perceptual learning through video in the pandemic context
Published 2020-12-01“…During this time of COVID-19 with travel restrictions abroad, the video resource serves as an effective visual pedagogy to build cultural understanding, embrace diversity, enable perceptual learning and empowering students to cultivate intercultural understandings of ‘the other’. …”
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Electromagnetic signal modulation recognition technology based on lightweight deep neural network
Published 2020-11-01“…In response to the trend that in the 6th generation wireless (6G) era,mobile communications and artificial intelligence will be closely integrated,and a huge number of edge intelligent signal processing nodes will be deployed,an efficient and intelligent electromagnetic signal recognition model was proposed,which could be deployed on resource-constrained edge devices.The constellation diagram of electromagnetic signal was firstly drawn to visualize electromagnetic signal as a two-dimensional image,and color the constellation diagram according to the normalized point density to achieve feature enhancement.Then,a binary deep neural network was adopted to recognize the colored constellation diagrams.It was shown that the approach can guarantee a high recognition accuracy,which significantly reduced the model storage and calculation costs.For verification,the proposed approach was applied to the problem of electromagnetic signal modulation recognition.The experiment uses eight commonly used digital modulation signals and selects additive white Gaussian noise as the channel environment.The experimental results show that the scheme can achieve a comprehensive recognition rate of 96.1% under the noise condition of -6~6 dB,while the size of the network model is only 166 KB.Further,the execution time,when executed on a Raspberry Pi 4B,is only 290 ms.Compared to a full-precision network of the same scale,the accuracy is increased by 0.6%,the model is reduced to <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML"> <mfrac> <mtext>1</mtext> <mrow> <mtext>26</mtext><mo>.…”
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Integrating Tiny Machine Learning and Edge Computing for Real-Time Object Recognition in Industrial Robotic Arms
Published 2025-05-01“…By integrating visual recognition technology and multi-object recognition into robotic arms, the flexibility and automation of the production process were improved in this study. …”
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Cautiously optimistic: paediatric critical care nurses’ perspectives on data-driven algorithms in low-resource settings—a human-centred design study in Malawi
Published 2024-12-01“…Abstract Background Paediatric critical care nurses face challenges in promptly detecting patient deterioration and delivering high-quality care, especially in low-resource settings (LRS). Patient monitors equipped with data-driven algorithms that monitor and integrate clinical data can optimise scarce resources (e.g. trained staff) offering solutions to these challenges. …”
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Evaluating the MPM III and SAPS III prognostic models in a war-affected, resource-limited setting: a prospective study from the Gaza Strip
Published 2025-05-01“…Furthermore, the difference between the predicted and actual mortality rates was visualized, and standardized mortality rates (SMR) were calculated. …”
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ProToDeviseR: an automated protein topology scheme generator
Published 2025-03-01“…The application offers a graphical user interface, implemented in R Shiny, hosting an enhanced version of Pfam’s domains generator for the rendering of visually appealing schemes. Conclusions ProToDeviseR can easily and quickly generate topology schemes by interrogating UniProt or NCBI GenPept databases and elegantly combine features from various resources.…”
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SKRINING PENYAKIT KECACINGAN DAN GANGGUAN VISUS PADA SISWA SD DI KELURAHAN SUNGAI PISANG KECAMATAN BUNGUS TELUK KABUNG KOTA PADANG
Published 2019-12-01“…Visual acuity checks were carried out using a Snellen card. …”
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Exoplanet Classification Through Vision Transformers with Temporal Image Analysis
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A Clinical Case of Two-Stage Visual-Functional Rehabilitation of a Patient with Postinfectious Central Corneal Opacity in Combination with Mixed Astigmatism Using Laser Keratorefra...
Published 2021-12-01“…The two-year postoperative follow-up period showed stable and high visual-functional results with no recurrence of the inflammatory process.…”
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