CAPABILITIES OF APPLYING VISIBLE LIGHT RAYS IN THE SYSTEMS OF HIDDEN INFORMATION TRANSMITTING by I. V. Pyslar, V. V. Brailovsky, M. G. Rozhdestvenska, M. M. Ivanchuk

“…We have investigated perception of the human vision to visual light pulses which have different power and frequency. …”
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Comparison of choroidal vascularity index in rhegmatogenous retinal detachment: impact of silicone-oil vs. gas tamponade following pars plana vitrectomy by Ece Ozal, Serhat Ermis, Murat Karapapak, Omer Faruk Canli, Sadık Altan Ozal

“…Conclusion CVI values did not significantly differ between eyes treated with SO and gas tamponade, nor did they correlate significantly with postoperative visual outcomes. Although CVI provides valuable insights into choroidal health, it may not serve as a strong predictor of visual recovery in the early postoperative period. …”
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Public knowledge of early stroke symptoms in the Vilnius region by A. Atkočiūnas, M. Mačionytė, R. Mameniškienė

“…The internet was the main source of information for 63.3% of respondents (64.9% in 2019). …”
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EMHANet: Lightweight Salient Object Detection for Remote Sensing Images via Edge-Aware Multiscale Feature Fusion by Qian Tang, Zhen Wang, Xuqi Wang, Shan-Wen Zhang

“…Salient object detection in remote sensing images (RSI-SOD) aims to identify visually prominent objects by mimicking human visual perception. …”
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Nutrient Content, Functional Properties and Acceptability of Rock Buns Formulated From Freeze-Dried Detroit Dark Red Beetroot Pomace Flour by Isaac Amoah, Ransford Opoku Asante, Rose Attakora, Abdallah Zaidan Mohammed, Marina Aferiba Tandoh, Charles Diako

“…Beetroot pomace is an underutilised food by-product obtained from the processing of beetroots. However, its rich source of nutrients makes it a potential ingredient for utilisation in rock bun development. …”
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Restricted attentional capacity within but not between sensory modalities: an individual differences approach. by Sander Martens, Manasa Kandula, John Duncan

“…Here we exploit these individual differences to address a long-standing question: does attention to a visual target come at a cost for attention to an auditory target (and vice versa)? …”
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Health messages that engage audiences after the COVID-19 pandemic: content analysis of Chinese posts on social media by Jing Yu, Yitong Zhao

“…In contrast, rich visual content negatively affects engagement. Regarding message style, strategies that include affective, interactive, and cohesive cues in text, as well as the use of warm colors in visuals, positively predict audience engagement.ConclusionThis study develops an integrated framework for health communicators to effectively use social media to share personal health experiences and engage audiences in collective responses to health crises.…”
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Musical expertise modulates embodied processing of biological motion and audiovisual-motor integration in rhythmic hand tapping by Alice Mado Proverbio, Matteo Valtolina

“…ERP analysis revealed a larger P300 and ERN amplitude for incongruent stimuli, with musicians exhibiting stronger differentiation between conditions. Source localization indicated distinct neural substrates: while non-musicians primarily engaged visual areas, musicians recruited the superior frontal gyrus (BA 10), basal ganglia, and cingulate cortex—structures implicated in rhythmic motor coordination and error monitoring. …”
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EFEKTIVITAS PEMBELAJARAN BERBASIS YOUTUBE TERHADAP PENINGKATAN MOTIVASI BELAJAR AKUNTANSI KEUANGAN PESERTA DIDIK SMKN 1 SANGGAU by Achmadi Achmadi, M Basri, Janiarti Janiarti

“…YouTube not only acts as a source of visual information, but also triggers positive and interactive responses, offering an innovative approach in the delivery of material. …”
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Delving into Underwater Image Utility: Benchmark Dataset and Prediction Model by Jiapeng Liu, Yi Liu, Qiuping Jiang

“…High-quality underwater images are essential for both human visual perception and machine analysis in marine vision applications. …”
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Diagnosing pathologic myopia by identifying morphologic patterns using ultra widefield images with deep learning by Yang Liu, Keming Zhao, Lihui Luo, Ziheng Zhang, Zhenghang Qian, Cenk Jiang, Zhicheng Du, Simin Deng, Chengming Yang, Duanpo Wu, Shuai Wang, Xingru Huang, Chenggang Yan, Yingting Zhu, Yehong Zhuo, Chunsheng Qu, Jiaqi Chen, Zhenqiang Huang, Chenying Lu, Minjiang Chen, Dongmei Yu, Jiantao Wang, Peiwu Qin, Jiansong Ji

“…Abstract Pathologic myopia is a leading cause of visual impairment and blindness. While deep learning-based approaches aid in recognizing pathologic myopia using color fundus photography, they often rely on implicit patterns that lack clinical interpretability. …”
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CABAD: A video dataset for benchmarking child aggression recognition by Shehzad Ali, Md Tanvir Islam, Ik Hyun Lee, Mohammad Hijji, Khan Muhammad

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Metasurface-enabled multifunctional single-frequency sensors without external power by Masaya Tashiro, Kosuke Ide, Kosei Asano, Satoshi Ishii, Yuta Sugiura, Akira Uchiyama, Hiroki Wakatsuchi

“…Abstract IoT sensors are crucial for visualizing multidimensional and multimodal information and enabling future IT applications/services such as cyber-physical spaces, digital twins, autonomous driving, smart cities and virtual/augmented reality (VR or AR). …”
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Possibilities for computer-based assessment the quality indicators of Kashkaval cheese using image processing by Balabanov Alexandar, Andreeva Hristina, Danev Angel, Bosakova-Ardenska Atanaska, Ivanov Galin, Balabanova Tatyana

“…In conclusion, it could be noticed that open-source software products for image processing Scilab and ImageJ could be utilized for the quality evaluation of Kashkaval cheese to support the assessment of the visual quality characteristics.…”
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Assessing dynamic brain activity during verbal associative learning using MEG/fMRI co-processing by Sangeeta Nair, Jerzy P. Szaflarski, Yingying Wang, Diana Pizarro, Jeffrey F. Killen, Jane B. Allendorfer

“…FMRI-constrained MEG source reconstructions using the ERP approach yielded early visual cortex activity followed by left inferior frontal gyrus (IFG) and orbito-frontal cortex (OFC) recruitment to coalesce in the left inferior temporal lobe. …”
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El Physiologus como fuente gráfico-textual de la emblemática animalística de la Edad Moderna by José Julio García Arranz

“…However, except for a few honorable exceptions, had not yet been addressed in depth the influence that this booklet was able to exert on the literary-visual genre of books of emblems from the 16th century on. …”
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Transcreation of Advertisements as Narratives by Rabia AKSOY

“…Hence, transculturation emerges as a critical component of the advertisement sector, and the cultural items of the source language and culture (SL, SC) are recreated in the target language (TL, TC). …”
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Approach to Plagiarism Detection in Programming Assignments by Malek Algabri, Firdaus Alhrazi

“…Also, a solution has been proposed to detect plagiarism in the source code and interfaces that pertain    to programming assignments. …”
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Conventional Knowledge, Pictorial Elucidation, Etymological Motivation, and Structural Elaboration in a Thematic Dictionary of Idioms by Jarosław Wiliński

“…This article makes a noteworthy contribution to the widely-held view in current language teaching and pedagogy that grouping figurative idioms under source domains and conceptual metaphors, using visuals for explaining the literal reading of idioms, providing background information about their literal meanings or origins, as well as drawing students’ attention to the lexical make-up of idioms can be conducive to their learning and understanding and especially beneficial for students’ retention of the meaning and form of such phrases (Kӧvecses and Szabó 1996; Kӧvecses 2001; 2002; Benor and Levy 2006; Boers and Lindstromberg 2008a; Kӧvecses and Csábi 2014).…”

Bidirectional RNN-based private car trajectory reconstruction algorithm by Zhu XIAO, Xin QIAN, Hongbo JIANG, Chenglin CAI, Fanzi ZENG

“…To address the problem that in the complex urban environment, due to the inevitable interruption of GNSS positioning signal and the accumulation of errors during vehicle driving, the collected vehicle trajectory data was likely to be inaccurate and incomplete.a bidirectional weighted trajectory reconstruction algorithm was proposed based on RNN neural network.The GNSS-OBD trajectory acquisition device was used to collect vehicle trajectory information, and multi-source data fusion was adopted to achieve bidirectional weighted trajectory reconstruction.Furthermore, the neural arithmetic logic unit (NALU) was leveraged with the purpose of enhancing the extrapolation ability of deep network and ensuring the accuracy of trajectory reconstruction.For the evaluation, real-world experiments were conducted to evaluate the performance of the proposed method in comparison with existing methods.The root mean square error (RMSE) indicator shows the algorithm accuracy and the reconstructed trajectory is visually displayed through Google Earth.Experimental results validate the effectiveness and reliability of the proposed algorithm.…”
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