Inverse power XLindley distribution with statistical inference and applications to engineering data by Amal S. Hassan, Najwan Alsadat, Christophe Chesneau, Mohammed Elgarhy, Mohamed Kayid, Suleman Nasiru, Ahmed M. Gemeay

“…Using three real data sets and comparisons with other distributions, the effectiveness of the proposed distribution is demonstrated and visually presented.…”
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Leber’s Hereditary Optic Neuropathy. A Clinical Case by O. I. Karushin, I. Z. Gafarov

“…At present, no methods of effective prevention and treatment of LHON are known. …”
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Vers une cartographie géo-lexicale by William Martinez

“…Based on this original visualizing of word structures we will consider the convergence of lexical and cartographic data in a GIS-type database (Geographic Information System).…”
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Congenital cataract. Report 2. Current strategies of congenital cataract management in children: a review by N. Ya. Senchenko, K. A. Nagaeva, E. K. Ayuyeva1, T. N. Iureva

“…Current techniques of aphakia correction, their advantages and disadvantages as well as pleoptic methods of visual system stimulation are discussed…”
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Immunological Aspects of Acute and Recurrent Herpes Simplex Keratitis by Jacek Rolinski, Iwona Hus

“…Herpes simplex keratitis (HSK) belongs to the major causes of visual morbidity worldwide and available methods of treatment remain unsatisfactory. …”
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Élargir le cadre by Roger Odin

“…Based on the contributor’s personal experience, this article analyses the setting up of a cinema and audio-visual curriculum in French secondary schools and universities and deals with its implications: a temptation to focus on cinema as art with an aesthetical approach and an invitation to accept film as “myth”. …”
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Examining the Impact of Content Features on Customer Engagement in Social Media: A Data Mining Approach on Instagram by Azade Shekari, Mohammad Mehdi Poursaeed, Saeed Dehyadegari

“…Findings The results of this study indicate the effects of embedded visual and textual content features of published messages on customer engagement behavior. …”
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Real-Time Identification of Look-Alike Medical Vials Using Mixed Reality-Enabled Deep Learning by Bahar Uddin Mahmud, Guanyue Hong, Virinchi Ravindrakumar Lalwani, Nicholas Brown, Zachary D. Asher

“…Compared to standard barcode-based methods and the baseline YOLOv4-Tiny model, the proposed approach improves identification accuracy while maintaining low computational overhead. …”
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Selection of Interspecific Peanut Arachis hypogaea L. Genotypes for Thrips Resistance Using Multivariate Analysis by Melina Zacarelli Pirotta, Marcos Doniseti Michelotto, Ignácio José de Godoy, Claudenir Facincani Franco, Jardel da Silva Souza, Sandra Helena Unêda-Trevisoli

“…The multivariate techniques applied are PCA and hierarchical cluster analysis using Euclidean distance and Ward’s method, and the nonhierarchical K-means method. PCA identifies two principal components explaining 78.39% of the variance, focusing on pod and grain yield, number of pods and grains, number of thrips, and visual symptom scores. …”
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Boundary-enhanced dual-stream network for semantic segmentation of high-resolution remote sensing images by Xinghua Li, Linglin Xie, Caifeng Wang, Jianhao Miao, Huanfeng Shen, Liangpei Zhang

“…Compared with 11 state-of-the-art methods, BEDSN exhibits higher-level performance in both quantitative and visual assessments with low model complexity. …”
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Efficient Polarization Demosaicking Via Low-Cost Edge-Aware and Inter-Channel Correlation by Guangsen Liu, Peng Rao, Xin Chen, Yao Li, Haixin Jiang

“…Efficient and high-fidelity polarization demosaicking is critical for the industrial applications of division of focal plane (DoFP) polarization imaging systems. However, existing methods often struggle to balance speed, accuracy, and complexity. …”
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Multi-Channel Fusion Decision-Making Online Detection Network for Surface Defects in Automotive Pipelines Based on Transfer Learning VGG16 Network by Jian Song, Yingzhong Tian, Xiang Wan

“…Although approaches for the online surface detection of automotive pipelines exist, low defect area rates, small-sample and long-tailed data, and the difficulty of detection due to the variable morphology of defects are three major problems faced when using such methods. In order to solve these problems, this study combines traditional visual detection methods and deep neural network technology to propose a transfer learning multi-channel fusion decision network without significantly increasing the number of network layers or the structural complexity. …”
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TFCNet: A Hybrid Architecture for Multi-Task Restoration of Complex Underwater Optical Images by Shengya Zhao, Xiufen Ye, Xinkui Mei, Shuxiang Guo, Haibin Qi

“…Hence, various factors need to be comprehensively considered when processing underwater optical images that are severely degraded under complex lighting conditions. Most existing methods resolve one issue at a time, making it challenging for these isolated techniques to maintain consistency when addressing multiple degradation factors simultaneously, often leading to unsatisfactory visual outcomes. …”
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Rw-Dm: Retinex and wavelet-based diffusion model for low-light image enhancement in underground coal mines by Yadong Li, Jun Tian, Yang Chen, Hongdong Wang, Hui Yan, Yang Peng, Tianjiao Wang

“…This methodology harnesses the generative capabilities of diffusion models to produce visually appealing outcomes in the enhancement of low-light images. …”
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Impact of computing platforms on classifier performance in heart disease prediction by Beenish Ayesha Akram, Muhammad Irfan, Amna Zafar, Sidra Khan, Rubina Shaheen

“…Heart disease, a widespread global health issue affecting both men and women, results from a complex interplay of lifestyle factors and genetics. Through visual representations, we examined the diverse factors influencing heart stroke occurrences. …”
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Pansharpening via Multiscale Embedding and Dual Attention Transformers by Wensheng Fan, Fan Liu, Jingzhi Li

“…Experiments over QuickBird and WorldView-3 datasets demonstrate the proposed MDPNet outperforms state-of-the-art methods visually and quantitatively with low running time. …”
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Comparative effectiveness of local treatment of afthous stomatitis by Yu. A. Makedonova, E. S. Aleksandrina, S. A. Vargina, T. A. Sinenko

“…Today, dentists face a diffcult task: in conditions of unfavorable environmental conditions, increased stress, high allergization of the body, tolerance of microorganisms to antibiotic therapy, to fnd a treatment method that will stop the inflammatory process, accompanied by an abundance of opportunistic microflora, improve the quality of life of the patient and reduce the cost of treatment of patients with diseases of the oral mucosa.Aim. of the study: to conduct a comparative analysis of the effectiveness of the treatment of the method of ozone therapy and the drug "Kolegel" relative to the generally accepted methods of treatment of patients with aphthous stomatitis.Materials and methods. …”
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Indicators of Changes in Postural Stability with Chronic Nonspecific Neck Pain by Maryam Saadat, Mohammad Jafar Shaterzadeh Yazdi, Ali Asghar Arastoo, Shahla Zahednegad, Hossein Negahban Seuki, Abdol Hossein Bigdeli

“…Altered sensory input of the cervical spine structure, mediated via the direct neurophysiologic connections to vestibular and visual system has the potential to disturb postural control.Subjects and Methods: In this case-control study, postural stability was measured by force plate in 24 nonspecific chronic neck pain & 24 matched healthy subjects. …”
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Intersectoral Collaboration Among Community Health and Social Workers in Disability-Related Organizations in South Korea: Awareness, Perceived Importance, Frequency, and Satisfacti... by Hye-Jin Kim, Jae-Young Lim, Soong-Nang Jang

“…This study aimed to assess service providers’ awareness of disability-related community resources and evaluate their perceptions of the importance, frequency, and satisfaction with intersectoral collaboration. Methods: A cross-sectional study was conducted in Gyeonggi Province, Korea, using a mixed-methods design. …”
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Low-Cost Microalgae Cell Concentration Estimation in Hydrochemistry Applications Using Computer Vision by Julia Borisova, Ivan V. Morshchinin, Veronika I. Nazarova, Nelli Molodkina, Nikolay O. Nikitin

“…This work provides a practical, accessible solution for laboratories lacking expensive automated equipment, bridging the gap between manual methods and high-end technologies.…”
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