Making Space for Painting by Paul Duro

“…Presenting artwork drawn from cave painting to modernist abstraction, my examples seek to illustrate the various ways in which the framing of space may be said to be the foundational element of picture making – without which the limits of art could not be ascertained.…”
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Apuntes sobre los principales debates disciplinares de la teoría política by Sergio Angel Baquero, Fredy Andrés Barrero Escobar

“…Metodológicamente, el artículo intenta desarrollar un estado del arte sobre el campo de la teoría política, tomando como base los manuales de ciencia política y algunas de las más importantes revistas de la disciplina del mundo anglosajón.…”
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Tylko jedno wspomnienie. Próba autobiografii bez narracji w pracach Billa Violi by Andrzej Pitrus

“… Prace Billa Violi, artysty działającego w sferze sztuki ruchomego obrazu, która jednak nie jest filmem, kwalifikowane są jako video art, video environments czy instalacje medialne. …”
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Unsupervised domain adaptation multi-level adversarial network for semantic segmentation based on multi-modal features by Zeyu WANG, Shuhui BU, Wei HUANG, Yuanpan ZHENG, Qinggang WU, Huawen CHANG, Xu ZHANG

“…In order to solve the problem of the distribution differences of visual, spatial, and semantic features between domains in domain adaptation, an unsupervised domain adaptation multi-level adversarial network for semantic segmentation based on multi-modal features was proposed.Firstly, an attentive fusion semantic segmentation network with three-layer structure was designed to learn the above three types of features from the source domain and target domain, respectively.Secondly, a self-supervised learning method jointing distribution confidence and semantic confidence was introduced into the single-level adversarial learning, so as to achieve the distribution alignment of more target domain pixels in the process of minimizing the distribution distance of the learnt features between domains.Finally, three adversarial branches and three adaptive sub-networks were jointly optimized by the multi-level adversarial learning method based on multi-modal features, which could effectively learn the invariant representation between domains for the features extracted from each sub-network.The experimental results show that compared with existing state-of-the-art methods, on the datasets of GTA5 to Cityscapes, SYNTHIA to Cityscapes, and SUN-RGBD to NYUD-v2 the proposed network achieves the best mean intersection over union of 62.2%, 66.9%, and 59.7%, respectively.…”
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A Multiagent Potential Field-Based Bot for Real-Time Strategy Games by Johan Hagelbäck, Stefan J. Johansson

“…We present a multiagent potential field-based bot architecture that is evaluated in two different real-time strategy game settings and compare them, both in terms of performance, and in terms of softer attributes such as configurability with other state-of-the-art solutions. We show that the solution is a highly configurable bot that can match the performance standards of traditional RTS bots. …”
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The Pastoral Ethos of Joseph McElroy’s Writing: Lookout Cartridge and Women and Men by Richard Anker

“…The main objective, however, is an attempt to understand McElroy’s intention to “transmute” our technological fears without merely rejecting them, which involves a fundamental rethinking of the Art-Nature, Technè-Phusis conflict at the heart of the pastoral tradition. …”
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PSI Methodologies for Nuclear Data Uncertainty Propagation with CASMO-5M and MCNPX: Results for OECD/NEA UAM Benchmark Phase I by W. Wieselquist, T. Zhu, A. Vasiliev, H. Ferroukhi

“…The guiding principle for the PSI UQ development has been to implement nonintrusive “black box” UQ techniques in state-of-the-art, production-quality codes used already for routine analyses. …”
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ViT-DualAtt: An efficient pornographic image classification method based on Vision Transformer with dual attention by Zengyu Cai, Liusen Xu, Jianwei Zhang, Yuan Feng, Liang Zhu, Fangmei Liu

“…Our results demonstrated that ViT-DualAtt achieved a classification accuracy of 97.2% ± 0.1% in pornographic image classification tasks, outperforming the current state-of-the-art model (RepVGG-SimAM) by 2.7%. Furthermore, the model achieves a pornographic image miss rate of only 1.6%, significantly reducing the risk of pornographic image dissemination on internet platforms.…”
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Distribution, Size, and Shape of Abdominal Aortic Calcified Deposits and Their Relationship to Mortality in Postmenopausal Women by Melanie Ganz, Marleen de Bruijne, Erik B. Dam, Paola Pettersen, Morten A. Karsdal, Claus Christiansen, Mads Nielsen

“…We investigated whether size, shape, and distribution of AACs are related to mortality and how such prognostic markers perform compared to the state-of-the-art AC24 marker introduced by Kauppila. Methods. …”
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Combining OpenStreetMap with Satellite Imagery to Enhance Cross-View Geo-Localization by Yuekun Hu, Yingfan Liu, Bin Hui

“…Compared to state-of-the-art methods that utilize only OSM data, our approach achieves substantial improvements, with 12.05% and 12.06% recall enhancements on the KITTI benchmark for lateral and longitudinal localization within a 1-m error, respectively.…”
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Enhancing the performance of SSVEP-based BCIs by combining task-related component analysis and deep neural network by Qingguo Wei, Chang Li, Yijun Wang, Xiaorong Gao

“…The performance of the proposed method is validated on two SSVEP BCI datasets and compared with that of eTRCA, sbCNN and other state-of-the-art models. Experimental results indicate that the proposed method significantly outperform the compared algorithms, and thus helps to promote the practical application of SSVEP- BCI systems.…”
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Dual-Modality Probes for in Vivo Molecular Imaging by Seulki Lee, Xiaoyuan Chen

“…This review discusses the advantages and challenges in developing dual-modality imaging probes and summarizes the current state-of-the-art systems with respect to their unique design strategies and applications.…”
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Multi-Condition Remaining Useful Life Prediction Based on Mixture of Encoders by Yang Liu, Bihe Xu, Yangli-ao Geng

“…Extensive experiments on the widely used C-MAPSS dataset demonstrate that MoEFormer outperforms several state-of-the-art methods for multi-condition RUL prediction.…”
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High-performance solid-state proton gating membranes based on two-dimensional hydrogen-bonded organic framework composites by Dandan Lei, Yixiang Wang, Qixiang Zhang, Shuqi Wang, Lei Jiang, Zhen Zhang

“…This transition, coupled with the introduction of bacterial cellulose to enhance desorption/adsorption of water clusters, enables us to achieve a superior proton gating ratio of up to 5740, surpassing state-of-the-art solid-state gating devices. Moreover, the developed membrane operates entirely on solid-state principles, rendering it highly versatile for a myriad of applications from environmental detection to human health monitoring. …”
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An Efficient Retinal Fluid Segmentation Network Based on Large Receptive Field Context Capture for Optical Coherence Tomography Images by Hang Qi, Weijiang Wang, Hua Dang, Yueyang Chen, Minli Jia, Xiaohua Wang

“…With only 1.02 million parameters and a computational complexity of 3.82 G FLOPs, LKMU-Lite achieves state-of-the-art performance across multiple metrics on the ICF and RETOUCH datasets, demonstrating both its efficiency and generalizability compared to existing methods.…”
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Repellents against Aedes aegypti bites: synthetic and natural origins by Melissa Noguera-Gahona, Cindy Peña-Moreno, Natalia Quiñones-Sobarzo, Natalia Quiñones-Sobarzo, Caroline Weinstein-Oppenheimer, Caroline Weinstein-Oppenheimer, María Guerra-Zúñiga, Ximena Collao-Ferrada, Ximena Collao-Ferrada

“…The present review explores the current state of the art on topical mosquito repellents, both synthetic and natural, used globally, especially in regions where dengue is endemic. …”
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PDE-Based Physics Guided Neural Network for SAR Image Segmentation by Rachana Rao, B. Roja Reddy, M. Uttara Kumari

“…The Partial Differential Equations (PDE) based Physics-Guided Neural Network (PGNN) model can achieve an accuracy of about 96%, which is greater than all existing state-of-art techniques. By harnessing the synergy between deep learning and physics-based knowledge, this work not only improves segmentation accuracy but also facilitates a deeper understanding of SAR data, paving the way for more reliable and insightful remote sensing applications.…”
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Indentured impressions: The embodied materiality of artistic practices in Mauritius by Baishali Ghosh

“…This article ponders the ways contemporary Mauritius art negotiates the lives and afterlives of indentured labour histories and how artists explore visual, textual and sensorial materials to connect and counter their indentured ancestors’ narratives. …”
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Topology-Aware Bus Routing in Complex Networks of Very-Large-Scale Integration with Nonuniform Track Configurations and Obstacles by Ziran Zhu, Zhipeng Huang, Jianli Chen, Longkun Guo

“…Compared with the top-3 state-of-the-art methods, experimental results show that our proposed algorithm achieves the best overall score regarding specified time limitations.…”
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Imagem sonora imersiva com arranjos circulares de transdutores espaçados em segmentos iguais by Jose Augusto Mannis, Igor Abdo Aguilar, Amanda Chang Rodrigues

“…Também são apresentados os desdobramentos do produto inicial, notadamente o desenvolvimento de uma ferramenta de simulação acústica e auralização com aplicações em artes, comunicação, bioacústica, ecologia e monitoramento ambiental. …”
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