Stylistic transformations of the actor's performance in contemporary global experiences by Wissam Ibrahim Rahim, Sarim Dakhil Ahmed

“…The process of transforming literary words (theatrical text) into a complex (kinetic formation) (audio-visual) remains different from one theatrical director to another. …”
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Pattern of Refractive Errors in Primary School Children in Dehradun City of Uttrakhand State by Tarannum Shakeel, Sanjeev Kumar Mittal

“…Settings and Design: Cross sectional descriptive study. Materials and Methods: All school going children of both genders aged 5 to 16 years attending the eye OPD of a tertiary care teaching hospital, Dehradun, under the school screening programme underwent visual acuity assessment, ocular motility evaluation and cover uncover test. …”
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Innovative technology of harvesting and preparation of tobacco leaves to drying by N. N. Vinevskaya, E. E. Ulyanchenko

“…The effect of withering time of leaves in the collector on the quality of the dried raw materials was studied. Methods of visual analysis of commercial quality, instrumental studies of the chemical composition of raw materials and its technological properties were used. …”
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Ainu Art: From Craft to Fine Art by Marina V. Osipova

“…Based on field work and analysis of sources, using descriptive, historical-systemic, comparative-historical and visual methods, an attempt is made to understand the prerequisites for the transition of Ainu craft and decorative art to fine arts, and the conditions that led to the emergence of highly artistic works. …”
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Nailfold Capillaroscopy Using Dermatoscope As a Tool to Assess Correlation of Vasculopathy in Nailfolds with Retinopathy in Diabetes Mellitus Patients by Abhirut Thakur, Gurkim Kaur, Nancy Sharma, Devraj Dogra, Suman Kotwal

“… Background: Diabetic retinopathy (DR) is an important long-term complication in diabetes patients and if not treated adequately, can lead to permanent visual disturbances. Nail fold capillaroscopy (NFC) can be used as a screening and reliable tool in evaluating the progression of the disease by monitoring the microvascular changes associated with it. …”
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Safety and efficacy of surgically performed continuous superficial serratus anterior plane block in uniportal video-assisted thoracic surgery by Giovanni Punzo, Dania Nachira, Giuseppe Calabrese, Chiara Cambise, Maria Teresa Congedo, Maria Letizia Vita, Elisa Meacci, Stefano Margaritora

“…Ten patients (20%) required morphine for a visual analogue scale (VAS) score >4 immediately after surgery. …”
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A novel model describing blood pressure profiles by Sabina Schlottau, Willi Cawello, Stephanie Läer

“…Therefore, it is important to analyze blood pressure profiles and blood pressure variability.MethodsA blood pressure model was developed based on data from cuffless blood pressure measurements of six healthy volunteers over a 14-day period. …”
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DCS-ST for Classification of Breast Cancer Histopathology Images with Limited Annotations by Suxing Liu, Byungwon Min

“…Extensive experiments on three public datasets—BreakHis, Mini-DDSM, and ICIAR2018—demonstrate that DCS-ST consistently outperforms existing state-of-the-art methods across various magnifications and classification tasks, achieving superior quantitative results and reliable visual classification. …”
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Sensory toponymy (on the material of Russian geographical names) by T. Yu. Peredrienko, E. S. Balandina

“…In the course of the study, it was investigated that the names actualizing visual perception construct the largest group, where several subgroups related to the position of the geographical object, its size, color, shape and quantity could be distinguished. …”
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Sustained attention and inhibitory control: age and sex related difference in children and adolescents using a CPT with distracting events by Carlotta Rivella, Paola Viterbori, Maria Carmen Usai

“…Overall, combined distractors have the greatest negative impact on performance, followed by visual and auditory distractors. However, in adolescents, lower distractors impact emerged, together with a positive impact of the auditory ones.DiscussionThese findings provide helpful insight on sustained attention an inhibitory control development, showing different trajectories for impulsivity and hyperactivity. …”
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Vision is adapted to the natural level of blur present in the retinal image. by Lucie Sawides, Pablo de Gracia, Carlos Dorronsoro, Michael A Webster, Susana Marcos

“…<h4>Background</h4>The image formed by the eye's optics is inherently blurred by aberrations specific to an individual's eyes. We examined how visual coding is adapted to the optical quality of the eye.…”
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PAVEMENT CONDITION ASSESSMENT USING LIDAR AND ARCGIS: AN EXPERIENCE FROM MALAYSIA by Babak GOLCHIN, Muhammad Aiman Badrish RAFFI, Nur Zarifah ZAKARIA, Noor Halizah ABDULLAH

“…Simultaneously, manual visual inspections were conducted, and defects were documented. …”
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A new optotype and chart for precision visometry by A-G. D. Aliev, A. A-G. Aliev, M. M. Nurudinov

“…To develop a new optotype and a chart for precision visometric tests and assess their accuracy.Materials and methods. 56 patients aged 16 to 57 years with the maximum visual acuity (VA) of 1.0 or more were examined for VA using three types of optotypes: standard letter optotype based on the Sivtsev — Golovin table, Landolt rings, and a new optotype developed by the authors.Results. …”
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Development of a standardized data collection and intelligent fabric quality prediction system for the weaving department by Ning Dai, Lunjun Li, Kaixin Xu, Zhehao Lu, Xudong Hu, Yanhong Yuan

“…Additionally, fabric defects significantly impact product quality, while current visual inspection technologies are primarily reactive and traditional quality prediction methods often exhibit considerable errors. …”
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"MoSpec": A customized and integrated system for model development, verification and validation. by Marcello Pompa, Simona Panunzi, Alessandro Borri, Laura D'Orsi, Andrea De Gaetano

“…However, analysing this vast amount of data requires collaboration between physicians and experts from diverse fields like mathematics and engineering.<h4>Methods</h4>Mathematical models play a crucial role in interpreting patient data and enable in-silico simulations for diagnosis and treatment. …”
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HybridBranchNetV2: Towards reliable artificial intelligence in image classification using reinforcement learning. by Ebrahim Parcham, Mansoor Fateh, Vahid Abolghasemi

“…In particular, a 14% improvement obtained on the Visual Genome dataset and ImageNet 1K compared to the original HybridBranchNet model. …”
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Инвестиционная открытость российских регионов: трансформации во времени и влияние приграничного положения... by Анастасия Васильева, Марина Морошкина

“…The paper aims at assessing the investment openness of the Russian regions, identifying spatial trends in investment activities, and determining the impact of the border factor. Materials and Methods. Investment openness was defined with mathematical tools and statistical data from 2011, 2015, and 2021; hierarchical cluster analysis was used for typology; the results of calculations and typology were visualized in map diagrams. …”
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CFM-UNet: coupling local and global feature extraction networks for medical image segmentation by Ke Niu, Jiacheng Han, Jiuyun Cai

“…The model integrates CNN-based Bottle2neck blocks for local feature extraction and Mamba-based visual state space blocks for global feature extraction. …”
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Theoretical and Practical Aspects of Conflict Construction in the Example of Studying the Current Political Situation by Anastasia Mikhailovna Kovaleva

“…Foreign media use the whole arsenal of informational psychological war methods including misinformation, discredit, compromise of enemy on the «symbolic space» level. …”
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Ensemble Techniques for Robust Fake News Detection: Integrating Transformers, Natural Language Processing, and Machine Learning by Mohammed Al-alshaqi, Danda B. Rawat, Chunmei Liu

“…The proliferation of fake news across multiple modalities has emerged as a critical challenge in the modern information landscape, necessitating advanced detection methods. This study proposes a comprehensive framework for fake news detection integrating text, images, and videos using machine learning and deep learning techniques. …”
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