Myopia prevalence, refractive status and uncorrected myopia among primary and secondary school students in Germany by Astrid Hönekopp, Lisa-Marie Tommes, Philipp Doebler, Sarah Weigelt

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Choroideremia with Mutation in CHM Gene. Clinical Cases with Literature Review by I. V. Zolnikova, S. V. Milash, V. V. Kadyshev, A. B. Chernyak, D. V. Levina, R. A. Zinchenko, I. V. Egorova, E. A. Eremeeva, S. Y. Rogova

“…In 33-year-old patient advanced stage was diagnosed: best corrected visual acuity (BCVA) was OU 0,9, visual field was constricted to 10 degrees in both eyes. …”
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Inspection of Defective Glass Bottle Mouths Using Machine Learning by Daiki Tomita, Yue Bao

“…In this study, we proposed a method for detecting chips in the mouth of glass bottles using machine learning. …”
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DMDiff: A Dual-Branch Multimodal Conditional Guided Diffusion Model for Cloud Removal Through SAR-Optical Data Fusion by Wenjuan Zhang, Junlin Mei, Yuxi Wang

“…Despite substantial progress in deep learning (DL)-based CR methods utilizing SAR data in recent years, challenges remain in preserving fine texture details and maintaining image visual authenticity. …”
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Evaluating the Effectiveness of Accelerated and Accelerated Cornea Pulsing Crosslinking Based on the Presence of a Demarcation Line by L. I. Khalimova

“…At 1 month after the crosslinking, there were no significant differences between the a-CXL and i-ACXL groups in terms of uncorrected visual acuity, corrected visual acuity, maximal correction. …”
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Application of microscopic image processing and artificial intelligence detecting and classifying the spores of three novel species of Trichoderma by Fatemeh Soltani Nezhad, Kamran Rahnama, Seyed Mohamad Javidan, Keyvan Asefpour Vakilian

“…This study showed that texture is the most important visual feature for spore classification. Besides, the findings reveal that instead of deep learning-based methods which require big data for training, traditional feature extraction methods still provide promising results with low computational complexities. …”
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A VAN-Based Multi-Scale Cross-Attention Mechanism for Skin Lesion Segmentation Network by Shuang Liu, Zeng Zhuang, Yanfeng Zheng, Simon Kolmanic

“…Therefore, we propose a new multi-scale cross-attention method called M-VAN Unet, which is designed based on the Visual Attention Network (VAN) and can effectively learn local and global features. …”
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Predictive modeling of ICU-AW inflammatory factors based on machine learning by Yuanyaun Guo, Wenpeng Shan, Jie Xiang

“…The optimal model is represented visually in the nomograms. Conclusion This study used easily accessible clinical characteristics and laboratory data that can aid in early clinical recognition of ICU-AW. …”
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Rice Leaf Nutrient Deficiency Classification System Using CAR-Capsule Network by M. Amudha, K. Brindha

“…CAR-Capsnet’s innovative use of contextual attention routing significantly enhances the model’s ability to navigate and interpret complex visual features and patterns, leading to improved classification accuracy compared to previous routing methods. …”
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Comparison of Neural Network, Ordinary Kriging, and Inverse Distance Weighting Algorithms for Seismic and Well-Derived Depth Data: A Case Study in the Bjelovar Subdepression, Croat... by Ana Brcković, Tomislav Malvić, Jasna Orešković, Josipa Kapuralić

“…The results showed that NN is a highly adjustable method for interpolation, with adjustment for numerous hyperparameters. …”
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How does high temperature weather affect tourists' nature landscape perception and emotions? A machine learning analysis of Wuyishan City, China. by Cuicui Ye, Zhengyan Chen, Zheng Ding

“…In this study, we employed machine learning models such as LSTM-CNN, Hrnet, and XGBoost, combined with hotspot analysis and SHAP methods, to compare and reveal the potential impacts of natural landscape elements on tourists' emotions under different temperature conditions. …”
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Instagram educators in Latin America. An approach to their practices and potential by Ana Beltrán-Flandoli, Diana Rivera-Rogel, Rebeca Córdova-Tapia, Santiago Tejedor

“…IntroductionInstagram, a visually-driven platform preferred by 85% of global influencers, remains underutilized in the educational domain. …”
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Comparative evaluation of the effectiveness and safety of trichloroacetic acid chemical reconstruction of skin scars versus microneedling in facial atrophic acne scars by Silpi Lakra, Pdiangty Giri Mawlong, Nishant Bisht

“…The final outcomes were assessed 4 weeks following the last treatment session. Various evaluation methods were employed, including Goodman and Baron’s qualitative and quantitative acne scarring grading systems, the physician’s global assessment (PGA), and a visual analog scale to measure treatment results in both groups. …”
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Quantitative research on aesthetic value of the world heritage karst based on UGC data: A case study of Huangguoshu Scenic Area. by Xi Zhao, Kangning Xiong, Meng Zhang

“…The visual sensitivity of the Great Waterfall and Dishuitan areas is relatively high, mostly at I-II level sensitivity. …”
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High-frequency laser therapy: a new alternative to physiotherapy in the treatment of cervical disk hernia by Ozlem Kuculmez, Emine Dündar Ahi, Sacide Nur Cosar, Sukran Guzel

“…This study aimed to compare the effectiveness of physiotherapy, high-frequency laser, and exercise therapy methods in the treatment of pain in cervical disk herniation.MethodsIt was a multicenter, randomized, controlled clinical trial. …”
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SPIN-SGG: spatial integration for open-vocabulary scene graph generation by Nanhao Liang, Xiaoyuan Yang, Shengyi Wang, Yong Liu, Yingwei Xia

“…Abstract Scene Graph Generation (SGG) aims to represent visual scenes as structured graphs, where objects and their pairwise relationships are modeled as relational triples. …”
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Enhanced tuberculosis detection using Vision Transformers and explainable AI with a Grad-CAM approach on chest X-rays by K. Vanitha, T. R. Mahesh, V. Vinoth Kumar, Suresh Guluwadi

“…On the test set, the model has accuracy of 0.98, recall of 0.97, and F1-score of 0.98, which is better than existing methods. The addition of Grad-CAM visuals not only improves the transparency of the model but also assists radiologists in assessing and verifying AI-driven diagnoses. …”
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Current possibilities of chorioretinites diagnostics by O. V. Chudinova, V. M. Hokkanen

“…Purpose: to study the morphometric changes in retina and the state of regional hemodynamics for chorioretinites of different etiology, to draw parallels between these methods of study with evaluation of their diagnostical significance.Methods: Clinical and instrumental examination was performed in 15 patients (15 eyes) — group 1 — with the verified diagnosis of toxoplasmous chorioretinitis and in 13 patients (13 eyes) — group 2 — with the diagnosis of tuberculous chorioretinitis. …”
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Unintended consequences of technology in competency-based education: a qualitative study of lessons learned in an OtoHNS program by Mary Ott, Tavis Apramian, Sayra Cristancho, Kathryn Roth

“…This study investigates how users interacted with an e-portfolio in an OtoHNS surgery program transitioning to a Canadian approach to competency-based assessment, Competence by Design. Methods We employed a sociomaterial perspective on technology and grounded theory methods of iterative data collection and analysis to study this OtoHNS program’s use of an e-portfolio for assessment purposes. …”
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The Effect of Camera and Display Technology on the Reliability of Digital Shade Evaluation by Aswini Kumar, Venkitachalam Ramanarayanan, D. Harikrishnan, Rahul Sajeev, Athira Rejithan, Vineetha Karuveettil, Reshma Suresh

“…Introduction: For a successful prosthodontic rehabilitation, accurate and economic shade selection methods are warranted. Shade selection with digital cameras and various commonly used digital displays can be suggested as an alternative to expensive colorimetric instruments and inaccurate visual shade selection. …”
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