Impact of the COVID-19 Pandemic on Ophthalmic Practice. Historical Aspects and Clinical Examples by V. N. Trubilin, E. G. Poluninа, V. V. Kurenkov, D. V. Andzhelova, E. E. Kazaryan, E. Yu. Markova, K. V. Chinenova, Yu. V. Evstigneeva

“…This article presents data on clinical ophthalmological manifestations of COVID-19 described in the literature, clinical examples that we met in pandemic conditions, COVID-19 including early and late manifestations, as well as references to studies conducted decades ago and aimed to evaluate the effects of coronavirus infection on the visual organ. …”
Get full text

Aerial image segmentation of embankment dams based on multispectral remote sensing: a case study in the Belo Monte Hydroelectric Complex, Pará, Brazil by Carlos André de Mattos Teixeira, Thabatta Moreira Alves de Araujo, Evelin Cardoso, Marcos Antonio Costantin Filho, João Weyl Costa, Carlos Renato Lisboa Frances

“…Visual inspection is essential to ensure the stability of earth-rock dams. …”
Get full text

Photodynamic therapy for neovascular age-related macular degeneration by Richard P.L. Wormald, MA, MB, BCh, MSc, FRCS, FRCOphth, Jennifer R Evans, PhD, Katherine S Henshaw, Liam L Smeeth, MD

“…Selection criteria: We included randomized trials of PDT in people with choroidal neovascularization due to ARMD. Data collection and analysis: Two authors independently extracted the data. …”
Get full text

Semi-Supervised Underwater Image Enhancement Method Using Multimodal Features and Dynamic Quality Repository by Mu Ding, Gen Li, Yu Hu, Hangfei Liu, Qingsong Hu, Xiaohua Huang

“…It is well known that semi-supervised learning can make use of unlabeled data. In this study, we proposed a semi-supervised underwater image enhancement method, MCR-UIE, which utilized multimodal contrastive learning and a dynamic quality reliability repository to leverage the unlabeled data during training. …”
Get full text

Choosing between different AI approaches? The scientific benefits of the confrontation, and the new collaborative era between humans and machines by Jordi Vallverdú

“…Besides, the extended mind model of human cognition, involves human-machine interactions. Huge amount of data requires new ways to make and organize scientific practices: supercomputers, grids, distributed computing, specific software and middleware and, basically, more efficient and visual ways to interact with information. …”
Get full text

Machine learning-driven framework for realtime air quality assessment and predictive environmental health risk mapping by M. Rajesh, R. Ganesh Babu, Usha Moorthy, Sathishkumar Veerappampalayam Easwaramoorthy

“…The framework integrates data from multiple sources, including fixed and mobile air quality sensors, meteorological inputs, satellite data, and localised demographic information. …”
Get full text

Applying a Convolutional Vision Transformer for Emotion Recognition in Children with Autism: Fusion of Facial Expressions and Speech Features by Yonggu Wang, Kailin Pan, Yifan Shao, Jiarong Ma, Xiaojuan Li

“…With advances in digital technology, including deep learning and big data analytics, new methods have been developed for autism diagnosis and intervention. …”
Get full text

World model-based end-to-end scene generation for accident anticipation in autonomous driving by Yanchen Guan, Haicheng Liao, Chengyue Wang, Xingcheng Liu, Jiaxun Zhang, Zhenning Li

“…In parallel, we construct a dynamic prediction model that encodes spatio-temporal relationships through strengthened graph convolutions and dilated temporal operators, effectively addressing data incompleteness and transient visual noise. Furthermore, we release a new benchmark dataset designed to better capture diverse real-world driving risks. …”
Get full text

REPRESENTASI BUDAYA TORAJA DALAM KOMIK TANA RAJA (ANALISIS SEMIOTIKA ROLAND BARTHES) by Wahyu Agus Dwiatmoko, Dyna Herlina Suwarto

“…Analisis data menggunakan model analisis semiotika Roland Barthes, yang terdiri atas penanda, petanda, makna denotatif, makna konotatif, dan mitos yang ditarik berdasarkan teori dari panel yang dianalisis. …”
Get full text

Prevalence and predictors of malocclusion among students in special needs schools in Amhara region, Ethiopia by Amare Teshome Tefera, Biruk Girma Bekele, Zelalem Aniley, Aynishet Adane, Tadesse Awoke Ayele, Kefyalew Ayalew Getahun, Simegnew Handebo, Semira Ali, Abebe Muche

“…The Ministry of Health should implement targeted oral health interventions and educational programs, particularly for those with intellectual and visual impairments. Future research should explore the causal pathways linking disability and malocclusion through longitudinal studies to overcome the limitations of cross-sectional data.…”
Get full text

Breaks in the Arctic ice cover: from observations to predictions by A. A. Ershova, L. N. Dyment, T. A. Alekseeva

“…Processing of big volumes of satellite data and creating climatological datasets on breaks became possible owing to the development of algorithms for automatic identification of the ice breaks in images. …”
Get full text

THE MATRIX OF COGNITIVE FILTERS AS A TOOL FOR THE ANALYSIS OF LINGUOCREATEMES IN MODERN ENGLISH DISCOURSE by Maria P. Taymour

“…This method also allows for the collection of data on the probabilistic prediction of the level of cognitive resonance and positive or negative dissonance in an addressee. …”
Get full text

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. The Quantile Quantile (QQ) plot was made to visualize the distribution pattern, and non-normal data were log-transformed to match the straight line. …”
Get full text

The Pterygium Excision with Conjunctival Autograft without Suture and Glue in Rural India by Ramya M, Mahesh J .B, Varun Y Raju

“…Data were analysed using Excel Data Analysis Tool and Jamovi 2.3.20 statistical analysis tool. …”
Get full text

Inequalities in Digital Education: Rural-Urban and Socioeconomic Differences by Serdar Nerse

“…In the research where qualitative method was applied, the data were obtained through in-depth interviews. Interview data were categorized and converted into themes using the Maxqda qualitative data analysis program. …”
Get full text

Satisfying Consumer Preferences: The Packaging Design of Guizhou Red Sour Soup by Huafeng Quan, Yiting Li, Qin Li, Dashuai Liu

Get full text

A hybrid deep learning framework for skin disease localization and classification using wearable sensors by Xiaoling Zhao, Huixin Zhang, Qian Zheng, Caihong Jing

“…Pre-processing techniques—including image resampling, intensity normalization, and noise reduction—standardize the input data to ensure consistency across sensor variations. …”
Get full text

Utilizing Footstep Sound Event Detection by Using CNN Techniques for Assuring Property Security by Furkan Y. Yavuz, Nejat Yumusak

“…Therefore, incorporating sound data from potential threats can also play a significant role in ensuring property security. …”
Get full text

Understanding the effect of art infusion on product evaluation: the boundary condition of multiple art exposures by Kewei Zhang, Jinzhe Yan

“…Study 1 examined the art infusion effect of artwork from different sources by analyzing experimental data (N = 282) based on the art infusion theoretical model. …”
Get full text

Tightly Coupled SLAM Algorithm Based on Similarity Detection Using LiDAR-IMU Sensor Fusion for Autonomous Navigation by Jiahui Zheng, Yi Wang, Yadong Men

“…SLAM algorithms are primarily categorized into visual SLAM and laser SLAM, based on the type of external sensors employed. …”
Get full text