Navigating uncertainty in environmental DNA detection of a nuisance marine macroalga. by Patrick K Nichols, Kaʻuaʻoa M S Fraiola, Alison R Sherwood, Brian B Hauk, Keolohilani H Lopes, Colt A Davis, James T Fumo, Chelsie W W Counsell, Taylor M Williams, Heather L Spalding, Peter B Marko

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Management of Vasoproliferative Tumors of the Retina with Macular Complications by Pars Plana Vitrectomy Combined with Episcleral Cryotherapy by Wenhua Zhang, Zeyuan Qiang, Hao Song, Xiaoli Li, Handong Dan, Keke Ge, Pan Li, Zixu Huang, Dongdong Wang, Feng Chen, Bin Zheng, Zongming Song

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Vestibular Rehabilitation as an Early Intervention in Athletes Who are Post-concussion: A Systematic Review by Gabrielle Babula, Edward Warunek, Katherine Cure, Grace Nikolski, Heather Fritz, Susan Barker

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Efficacy of Voriconazole Corneal Intrastromal Injection for the Treatment of Fungal Keratitis by Chenshuang Li, Kunpeng Pang, Liqun Du, Xinyi Wu

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Binary image steganography method based on layered embedding by Yuxiang CHENG, Weiming ZHANG, Weixiang LI, Nenghai YU

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Cognitive Impairment in Relapsing-Remitting Multiple Sclerosis Patients with Very Mild Clinical Disability by S. Migliore, A. Ghazaryan, I. Simonelli, P. Pasqualetti, F. Squitieri, G. Curcio, D. Landi, M. G. Palmieri, F. Moffa, M. M. Filippi, F. Vernieri

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pACP-HybDeep: predicting anticancer peptides using binary tree growth based transformer and structural feature encoding with deep-hybrid learning by Shahid, Maqsood Hayat, Wajdi Alghamdi, Shahid Akbar, Ali Raza, Rabiah Abdul Kadir, Mahidur R. Sarker

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Long-Term Clinical Outcomes of Small-Incision Femtosecond Laser-Assisted Intracorneal Concave Lenticule Implantation in Patients with Keratoconus by Qi Wei, Hui Ding, Ke Nie, He Jin, Tan Zhong, Hanyang Yu, Zhenduo Yang, Shisi Hu, Linyi He, Xingwu Zhong

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Automatic summarization of cooking videos using transfer learning and transformer-based models by P. M. Alen Sadique, R. V. Aswiga

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Low Profile, Dual-Polarised Antenna for Aeronautical and Land Mobile Satcom by Martin Shelley, Robert Pearson, Javier Vazquez

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Sequencing and Integration of Cervical Manual Therapy and Vestibulo-oculomotor Therapy for Concussion Symptoms: Retrospective Analysis by Christopher Kevin Wong, Lauren Ziaks, Samantha Vargas, Tessia DeMattos, Chelsea Brown

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Corneal endothelial dysfunction: etiology, pathogenesis, and current treatment approaches by S.V. Trufanov, E.P. Salovarova

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Hemodynamic Instability Induced by Superselective Angiography of the Ophthalmic Artery by Stephan Klumpp, Lydia M. Jorge, Mohammed Ali Aziz-Sultan

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Intracavitary Irradiation as a Safe Alternative for Cystic Craniopharyngiomas: Case Report and Review of the Literature by Alejandro Enriquez-Marulanda, Melibea Sierra-Ruiz, Luz Maritza Pabón, Javier Lobato-Polo

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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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Bernard Lassus : une pratique démesurable pour le paysage by Massimo Venturi Ferriolo

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Eye-tracking in archaeological practice: applications, potential, and challenges by Tomasz Michalik

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Management and quality control of construction materials standards, techniques, and challenges by Severin Jean Maixent Loubouth, Sorel Nzaba, Gildas Ngouono Ngakali, Narcisse Malanda

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Functional Interhemispheric Asymmetry and Neurocognitive Development in Children and Teenagers by N.A. Khokhlov

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Digital Rebirth of Dongba Pattern: An Improved Active Contour Model for Pattern Contour Extraction by Yuan Li, Tao Wu, Rongbing Fu, En Lu

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