Innovations and barriers in sustainable and green finance for advancing sustainable development goals by Raghu Raman, Suparna Ray, Dayana Das, Prema Nedungadi

“…This study employs a mixed-methods approach to investigate the role of sustainable and green finance in advancing UN sustainable development goals (SDGs). …”
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Reasons and frequency of transition to a double-stent technique when correcting bifurcation lesions of the coronary arteries in patients with acute coronary syndrome by R. E. Kalinin, I. A. Suchkov, A. V. Karpov, I. B. Ilyasov, I. N. Shanaev

“…The objective was to estimate the risk and predictors of intraoperative transition from a single-stent technique of correction of bifurcation lesions of the coronary arteries to a double-stent technique.METHODS AND MATHERIALS. The study included 49 patients (35 men – 71.4 % and 14 women – 28.6 %) with acute coronary syndrome, whose coronary angiography revealed non-stem bifurcation lesions of the coronary arteries. …”
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Affective Image Captioning for Visual Artworks Using Emotion-Based Cross-Attention Mechanisms by Shintaro Ishikawa, Komei Sugiura

“…Moreover, we introduce affective tokens that fuse grid- and region-based image features to cover both contextual and object-level information. We validated our method on the ArtEmis dataset, and the results demonstrated that our method outperformed baseline methods on all metrics in the emotion-conditioned task.…”
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Simultaneous and Visual Detection of KPC and NDM Carbapenemase-Encoding Genes Using Asymmetric PCR and Multiplex Lateral Flow Strip by Wei Lai, Yongjie Xu, Lin Liu, Huijun Cao, Bin Yang, Jie Luo, Ying Fei

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Establishing the minimal important difference of the visual analog scale for assessing exercise-induced fatigue by Jianyu Gan, Gengxin Dong, Yilin Xu, Yan Chen, Yunqing Zhang, Qi Gao, Dapeng Bao

“…Abstract Background Exercise-induced fatigue is a physiological state characterized by performance decline. The Visual Analog Scale (VAS) is one of the most commonly used subjective methods for evaluating exercise-induced fatigue. …”
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Streamlining Visual UI Design: Mining UI Design Patterns for Top App Bars by Ming Li, Zhenbo Zhang, Tao Lin

“…This study introduces an auxiliary design method to address this challenge. It proposes the sequence representation learning technique to cluster TABs in software repositories based on their structure. …”
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Incorporating long-tail data in complex backgrounds for visual surface defect detection in PCBs by Liying Zhu, Sen Wang, Mingfang Chen, Aiping Shen, Xuangang Li

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A Practical Multimodal Fusion System With Uncertainty Modeling for Robust Visual and Affective Applications by Lei Pan, Xingyu Han, Xiaoming Liu, Yang Liu

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Robust visual tracking using temporal regularization correlation filter with high-confidence strategy by Xiao-Gang Dong, Ke-Xuan Li, Hong-Xia Mao, Chen Hu, Tian Pu

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Assessment of human emotional reactions to visual stimuli “deep-dreamed” by artificial neural networks by Agnieszka Marczak-Czajka, Timothy Redgrave, Mahsa Mitcheff, Michael Villano, Adam Czajka

“…Multiple linear regression analysis found that a small set of selected image global visual features (hue, feature congestion, and sub-band entropy) are significant predictors of the measured arousal, however no statistically significant dependencies were found between image global visual features and the measured valence.ConclusionThis study demonstrates that the specific method of synthesizing images by maximizing small and precisely-selected parts of the CNN used in this work may lead to synthesis of visual stimuli that enhance or attenuate emotional reactions. …”
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Advanced Diabetic Retinopathy Detection with the R–CNN: A Unified Visual Health Solution by Sravya Valluri Sri, Srinivasu Parvathaneni Naga, Shafi Jana, Hołubowski Waldemar, Zielonka Adam

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Back to the Context: Tuning Visual Localization Using Structural and Edge Context Within Image by Nanda Febri Istighfarin, Seongwon Lee, HyungGi Jo

“…Among various methods, the scene coordinate regression network is a recent approach. …”
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Sine Cosine Optimization With Deep Learning–Driven Object Detector for Visually Impaired Persons by Hadeel Alsolai, Fahd N. Al-Wesabi, Abdelwahed Motwakel, Suhanda Drar

“…The experimentation outcome of the SCODL–ODC method is examined on the object detection dataset. …”
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Rapid and Visual Detection of Mycobacterium tuberculosis Complex Based on Multiplex Recombinase Polymerase Amplification by Xiaoyan Tan, Yongcong Li, Xufu Xiang, Wei Wu, Gang Wang, Sai Zhang

“…Currently, available diagnostic methods are often too costly or insufficiently sensitive for effective use in low‐ and middle‐income countries. …”
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Computer Vision With Explainable Artificial Intelligence for Visual Pollution Detection in the Kingdom of Saudi Arabia by Alanoud Al Mazroa, Mohammed Maray, Abdullah M. Alashjaee, Faiz Abdullah Alotaibi, Ahmad A. Alzahrani, Abdulwhab Alkharashi, Shoayee Dlaim Alotaibi, Mrim M. Alnfiai

“…Building automated pollutants or pollution detection methods became progressively popular owing to the present growth of improved artificial intelligence methods. …”
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Geometry-Constrained Learning-Based Visual Servoing with Projective Homography-Derived Error Vector by Yueyuan Zhang, Arpan Ghosh, Yechan An, Kyeongjin Joo, SangMin Kim, Taeyong Kuc

“…We propose a novel geometry-constrained learning-based method for camera-in-hand visual servoing systems that eliminates the need for camera intrinsic parameters, depth information, and the robot’s kinematic model. …”
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Research on fusion generation algorithm of visual communication and product design based on AIGC technology by Guoying Chen, Xiaofeng Lan, Kai Liu, Can Cheng

“…This paper analyzes the application of AIGC technology in visual communication, including the key role of AIGC generation model in design and its methods to improve design efficiency. …”
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Cross-domain autonomous driving visual segmentation based on enhanced target data learning by Chaoyu Rao, Xiaoyong Fang, Yunzhe Zhang, Wanshu Fan, Dongsheng Zhou

“…Within the broader context of Information and Communications Technology (ICT), the quest for reliable and scalable visual segmentation methods poses significant challenges, particularly in autonomous driving, where real-world scene complexity requires advanced solutions. …”
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Rationale for the use of electrophoresis of drugs in post-stroke patients with visual impairments: a review by Detelina B. Kulchitskaya, Tatiana V. Konchugova, Tatyana V. Marfina, Tatiana V. Apkhanova

“…Among the best-known physiotherapeutic methods is drug electrophoresis. MAIN CONTENT OF THE REVIEW. …”
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Visual impairment prevention by early detection of diabetic retinopathy based on stacked auto-encoder by Shagufta Almas, Fazli Wahid, Sikandar Ali, Ahmed Alkhyyat, Kamran Ullah, Jawad Khan, Youngmoon Lee

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