Angiography Scores Can Predict Amputation in Diabetic Feet by Anak Agung Gede Budhitresna, Anak Agung Gede Agung Budhi Kesuma, Ketut Putu Yasa

“…Angiography is a diagnostic method used to visualize blood vessels, plan therapeutic actions, and predict prognosis, including the likelihood of amputation. …”
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The Impact Of Incorporating Computer-based Interactive Videos On Developing Learners’ Comprehension Skills In Scientific Texts The Case Of Second-year Students Of Tamazight, At The... by Lina Sabbah

“…We have opted for the experimental method, using an analytic and quantitative approach. …”
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Damage Detection of Seismically Excited Buildings Using Neural Network Arrays with Branch Pruning Optimization by Jau-Yu Chou, Chia-Ming Chang, Chieh-Yu Liu

“…In structural health monitoring, visual inspection remains vital for detecting damage, especially in concealed elements such as columns and beams. …”
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The Effects of Chamomile and Flaxseed on Pelvic Pain, Dyspareunia, and Dysmenorrhea in Endometriosis: A Controlled Randomized Clinical Trial by Zohre Khalajinia, Fatemeh Mohanazadeh Falahieh, Mohammad Aghaali

“…A Visual Analog Scale (VAS) was used to measure the severity of pain. …”
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GRAPH MODELS OF THE DYNAMICS OF NETWORK ATTACKS IN AUTOMATED SYSTEMS OF INTERNAL AFFAIRS BODIES by E. S. Ovchinnikova

“…The developed graph models allow visualizing the process of implementing the main malicious functions of the considered  network attacks and consider the attacker's alleged actions. …”
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Deep Learning-Based Navigation System for Automatic Landing Approach of Fixed-Wing UAVs in GNSS-Denied Environments by Ying-Xi Lin, Ying-Chih Lai

“…Moreover, a line detection method is employed to accurately align the UAV with the runway, effectively resolving issues related to runway contours. …”
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Reconstruction of Three-Dimensional Object from Two-Dimensional Images by Utilizing Distance Regularized Level Algorithm and Mesh Object Generation by Samera Shams Hussei, Sukaina Sh Altyar, Lubab Ahmed Tawfeeq, Eman S. Harba

“…Three-dimensional (3D) reconstruction from images is a most beneficial method of object regeneration by using a photo-realistic way that can be used in many fields. …”
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A Prospective Cohort Study on the Respiratory Effect on Modified Mallampati Scoring by Rotem Naftalovich, Marko Oydanich, Janet Adeola, Jean Daniel Eloy, Daniel Rodriguez-Correa, George L. Tewfik

“…Mallampati scoring is a common exam method for evaluating the oropharynx as a part of the airway assessment and for anticipation of difficult intubation. …”
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Geometric Effects on Nanopore Creation in Graphene and on the Impact-withstanding Efficiency of Graphene Nanosheets by Sadegh Sadeghzadeh

“…Instead, visual inspection of the bottom side of a graphene sheet should be used. …”
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Engaging Learning Experience: Enhancing Productivity Software Lessons with Screencast Videos by Usha Vellappan, Liyen Lim, Lim Su Yin

“…Screencast videos are digital resources that capture the computer screen and create an audio-visual experience, and they can be shared online to aid the learning process. …”
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Predicting boiling heat flux, heat transfer coefficient, and regimes Non-intrusively using external acoustics and deep learning by Doyeong Lim, Yang Liu, In Cheol Bang

“…Traditional diagnostic methods relying on intrusive sensors or visual inspection become impractical in harsh industrial environments characterized by high pressures, temperatures, and radiation exposure. …”
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Hydraulic support pressure-posture fusion analysis technology for deep complex environment working faces by GONG Shixin

“…By analyzing the roll angle data of the hydraulic top beam and base, a line segment fitting method was employed to visualize the three-dimensional trend of the roof and floor of the working face in real-time. …”
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Traditional guidance mechanism based deep robust watermarking by Xuejing GUO, Yixiang FANG, Yi ZHAO, Tianzhu ZHANG, Wenchao ZENG, Junxiang WANG

“…With the development of network and multimedia technology, multimedia data has gradually become a key source of information for people, making digital media the primary battlefield for copyright protection and anti-counterfeit traceability.Digital watermarking techniques have been widely studied and recognized as important tools for copyright protection.However, the robustness of conventional digital watermarking methods is limited as sensitive digital media can easily be affected by noise and external interference during transmission.Then the existing powerful digital watermarking technology’s comprehensive resistance to all forms of attacks must be enhanced.Moreover, the conventional robust digital watermarking algorithm’s generalizability across a variety of image types is limited due to its embedding method.Deep learning has been widely used in the development of robust digital watermarking systems due to its self-learning abilities.However, current initialization techniques based on deep neural networks rely on random parameters and features, resulting in low-quality model generation, lengthy training times, and potential convergence issues.To address these challenges, a deep robust digital watermarking algorithm based on a traditional bootstrapping mechanism was proposed.It combined the benefits of both traditional digital watermarking techniques and deep neural networks, taking into account their learning abilities and robust characteristics.The algorithm used the classic robust digital watermarking algorithm to make watermarked photos, and the constructed feature guaranteed the resilience of traditional watermarked images.The final dense image was produced by fusing the conventionally watermarked image with the deep network using the U-Net structure.The testing results demonstrate that the technique can increase the stego image’s resistance to various attacks and provide superior visual quality compared to the conventional algorithm.…”
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A bioelectric router for adaptive isochronous neurostimulation enables multipolar bioelectric stimulation from a single source by Eashan Sahai, Jordan Hickman, Daniel J. Denman

“…Abstract Multipolar intracranial electrical brain stimulation (iEBS) is a method that has potential to improve clinical applications of mono- and bipolar iEBS, including deep brain stimulation (DBS) and sensory prosthetics. …”
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Cluster analysis of the factors influencing innovative development of economy in regions of Russian Federation by V. N. Yur’ev, D. M. Dybok

“…To analyze the sample rates and to divide regions to the clusters we’ve used a fully integrated line of analytic solutions Statistica [2], for analyzing, visualizing and forecasting. As a result of a statistical analysis and Statistica use regions were divided into clusters according to the three methods: hierarchical classification, Kaverage method and two-input distribution. …”
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A Bibliometric Analysis of Research on Human Settlements Improvement Based on CNKI and Web of Science by Chenxi Li, Jinfeng Miao, Xuan Zhai, Qiao Liu

“…The subsequent research on the improvement of human settlement environments should strengthen the breadth and depth of research, improve the evaluation index system, innovate research methods, and build interdisciplinary integration, to provide a perfect research paradigm for research on the improvement of human settlement environments in the future.…”
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Geospatial Approach to Soil Fertility Mapping in Dailekh District, Nepal: A GIS Perspective by Gaurab Dhakal, Sanket Kattel

“…The classical statistical method was used for the descriptive analysis of sampled data. …”
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A Differentiated Approach to the Complex Treatment of Cornea Ulcers by E. V. Chentsova, E. N. Verigo, A. I. Hazamova

“…CRL treatment was carried out in 3 variants: 1-as the main method of treatment, 2 — CRL in combination with TAM + BR, 3 — CRL + keratoplasty ( 5–7 days after surgery). …”
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Evaluation of vitamin A levels in patients hospitalized in the general pediatrics unit by Merve Tosyali, Feyza Koc, Burce Emine Dortkardesler, Sule Gokce

“…Vitamin A deficiency; It can cause visual disorders, growth retardation, as well as cellular and humoral immunological disorders. …”
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Cognitive factors on the performance of group decision-making: a behavioral and eye-tracking study by Cheng Kexin, Jiang Zuhua, Yang Jiapeng

“…This gap hinders the quality and efficiency of engineering group decisions.MethodsThis study introduces an eye-tracking method to investigate interdisciplinary group decision-making in engineering design, leveraging group decision-making performance theory and eye-tracking technology. …”
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