Retina Modeling by Artificial Neural Networks by Amelia Stewart

“…The model, as mentioned above, has potential applications in the development of artificial retinas, serving as a hardware implementation to restore some visual capabilities in individuals with visual impairments.…”
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Middle Meningeal Arteriovenous Fistula, Trauma, Dural Arteriovenous Fistula, Middle Meningeal Artery, Coil Embolization by Bokyung Kim, Kyung Mi Lee

“…Biopsy is the most definitive diagnostic method; however, it can be invasive and unnecessary in certain cases. …”
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Manually performed limbal relaxing incisions versus femtosecond laser-guided astigmatic keratotomy for correction of corneal astigmatism after phacoemulsification by Ashraf Rashwan, Ali Natag, Ehab Wasfi, Hassan Lotfy, Mohamed Shehata

“…Conclusion Both manually performed LRIs and FLAK were safe, predictable, and effective methods for correcting pre-existing or surgically induced corneal astigmatism after phacoemulsification with a nonsignificant difference in visual and corneal topographic outcomes between the two methods.…”
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Collaboration to Enhance Culture and Arts on Pulau Ketam Malaysia as a Strengthening of Socio-Cultural Identity by Dona Prawita Arissuta, Achmad Nur Kholis

“…There needs to be an effort to encourage the promotion of the community to maintain the socio-culture in the area. international community service activities are one solution that can be done. The method used in this community service activity is to identify problems in the field. …”
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Vision-Degree-Driven Loading Strategy for Real-Time Large-Scale Scene Rendering by Yu Ding, Ying Song

“…Experimental results demonstrate that our method reduces the rendering latency by 24–29% compared with the existing Area-of-Interest (AOI)-based loading strategy, while maintaining comparable visual quality.…”
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Cochlear Implantation in Patients with Keratitis-Ichthyosis-Deafness Syndrome: A Report of Two Cases by Birgul Gumus, Armagan Incesulu, Mehmet Ozgur Pinarbasli

“…On the other hand, cochlear implantation is a method that has been used in limited cases in the literature. …”
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Effects of neighborhood streetscape on the single-family housing price: Focusing on nonlinear and interaction effects using interpretable machine learning. by Jaewon Han, Ayoung Woo, Sugie Lee

“…In addition, this study used an interpretable machine learning model of the SHAP method to identify key features that affect single-family home price prediction. …”
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Towards an Integrated Study of Camouflage and Cognition in Cephalopods by Willa M. Lane, Nicola S. Clayton

“…Finally, we discuss barriers to using camouflage as a method to study cognition and provide two hypothetical paradigms using camouflage to study object permanence and predator deception. …”
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Unsupervised Restoration of Underwater Structural Crack Images via Physics-Constrained Image Translation and Multi-Scale Feature Retention by Xianfeng Zeng, Wenji Ai, Zongchao Liu, Xianling Wang

“…This paper introduces an unsupervised enhancement framework tailored for restoring underwater images containing structural cracks. The method combines a physical modeling of underwater light transmission with a deep image translation architecture that operates without requiring paired training samples. …”
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Radiomics capabilities in the interpretation of ultrasound and CT data in patients with chronic kidney disease: A review by Alexandra V. Proskura, Khalil M. Ismailov, Alexander G. Smoleevskiy, Amina I. Salpagarova, Irina N. Bobkova, Andrei M. Shestiuk

“…Radiomics is a promising area of medical image analysis based on the extraction of quantitative features not available in standard visual analysis and the subsequent use of artificial intelligence methods for their processing and interpretation. …”
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Maturity Classification and Quality Determination of Cherry Using VNIR Hyperspectral Images and Comprehensive Chemometrics by Yuzhen Wei, Siyi Yao, Feiyue Wu, Qiangguo Yu

“…To improve the imaging performance, two spectral pretreatment methods (wavelet transform, standard normal variable transformation and detrend), three feature selection methods (successive projection algorithm, genetic algorithm, and shuffled frog leaping algorithm), and four regression modeling methods (principal components regression, partial least squares regression, least square-support vector regression, convolutional neural network) were employed and compared. …”
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Modeling Air Combat Behavior for Simulation-Based Pilot Training: A Survey of Machine Learning Approaches by Andreas Strand, Patrick Ribu Gorton, Karsten Brathen

“…However, current simulated entities often display simplified behavior, and traditional methods for improving realism require extensive manual effort to integrate domain knowledge. …”
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EEG-DGRN: dynamic graph representation network for subject-independent ERP detection by Jiabin Zhu, Xuanyu Jin, Yuhang Ming, Wanzeng Kong

“…After that, the temporal dynamic attention module enables the model to pay more attention to subject-invariant representations.Results Our EEG-DGRN model is evaluated on a publicly available rapid serial visual presentation dataset. It achieves a remarkable mean balanced classification accuracy of 87.05%, outperforming all other methods compared in this study.Conclusion Such performance demonstrates its ability to extract subject-invariant EEG features and generalize effectively to unseen subjects. …”
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A Beacon of Space and Time: Detailed Depiction of Human Space in the Xiong’an New Area Guided by Material Cultural Heritages by Yingchun Cao, Jie Yang, Xiaoling Chen, Xiujuan Yang

“…Multiple instruments were combined to realize the depiction, including archeological methods, geographical methods, and sociological methods. …”
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Two-stage Mamba-based diffusion model for image restoration by Lei Liu, Luan Ma, Shuai Wang, Jun Wang, Silas N. Melo

“…However, transformer-based methods face high computational costs due to quadratic complexity, while diffusion-based methods often struggle with suboptimal results due to inaccurate noise estimation. …”
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Improving Tuberculosis Detection in Chest X-Ray Images Through Transfer Learning and Deep Learning: Comparative Study of Convolutional Neural Network Architectures by Alex Mirugwe, Lillian Tamale, Juwa Nyirenda

“… Abstract BackgroundTuberculosis (TB) remains a significant global health challenge, as current diagnostic methods are often resource-intensive, time-consuming, and inaccessible in many high-burden communities, necessitating more efficient and accurate diagnostic methods to improve early detection and treatment outcomes. …”
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“People have options”: a qualitative study of experiences and influences of PrEP choice among women in South Africa by Siphokazi Dada, Faith Mary Musvipwa, Fatima Abegail Cholo, Melanie Pleaner, Alison Kutywayo, Vusile Butler, Catherine Elizabeth Martin, Saiqa Mullick

“…This study, embedded within an implementation science study introducing new PrEP methods, explores women's experiences of PrEP choice counselling, and factors influencing PrEP choice. …”
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Scleral-fixated IOLs – A comprehensive review of current practices and emerging trends by Manasi Tripathi, Siddhartha Rao, Rajesh Sinha

“…Although alternative methods such as anterior chamber IOLs (ACIOLs) and iris-claw lenses may also be employed in such scenarios, SFIOLs are particularly suitable for eyes with low endothelial cell counts, shallow anterior chambers, iris abnormalities, or aniridia. …”
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Electromagnetic Imaging for Breathing Monitoring by Ivan Vassilyev, Zhassulan Mendakulov

“…The search for new non-invasive methods of investigating the functioning of human internal organs is an urgent task. …”
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Innovative Tools of Educational Organization Development Management: Benchmarking by E. O. Okunkova

“…The study found that benchmarking is the most appropriate way to improve the work of the educational organization, which is a process of constantly measuring and comparing the methods and results of the work of the organization, its individual divisions, functions, processes with organizations chosen for imitation. …”
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