Fine-tuned deep transfer learning: an effective strategy for the accurate chronic kidney disease classification by Zeshan Aslam Khan, Muhammad Waqar, Hashir Ullah Khan, Naveed Ishtiaq Chaudhary, Abeer TMA Khan, Iqra Ishtiaq, Farrukh Aslam Khan, Muhammad Asif Zahoor Raja

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Alessandro Vincenzo Duse by Paolo Albonetti

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Registers of psoriatic arthritis. Literature review by A. D. Koltakova

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Modern pharmacotherapy of psoriatic arthritis by Yu. L. Korsakova, T. V. Korotaeva

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A Decision-Aid Tool to Compare Costs of Mechanical Harvesting Systems by Fritz Roka

“…FE751, a 4-page illustrated fact sheet by Fritz Roka, provides instructions in the use of a Web-based tool to help growers and harvesting contractors organize relevant harvest cost information and then calculate and compare net harvest costs among all available harvesting options. …”
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INCREASING THE MOTIVATION FOR LEARNING FOREIGN LANGUAGE BY USING THE WEB 2.0 APPLICATION PIXTON by Dinko Stratiev

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27th Congress of the International Society on Thrombosis and Hemostasis by N. V. Seredavkina

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GLUCOCORTICOID-INDUCED OSTEOPOROSIS: DIAGNOSIS, PREVENTION, AND TREATMENT by N. V. Toroptsova

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Internal Audit Charter by Kabale University

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Kans-Unet Model and Its Application in Image Patch-Shaped Detection by Xingsu Li, Zhong Li, Jianping Huang, Ying Han, Kexin Zhu, Bo Hao, Junjie Song, Yumeng Huo

“…This study proposes a new detection method Kans-Unet, which combines Kans and U-net architecture. Specifically, the method embeds a convolution module based on Kans (Kan-Conv) in the encoder. …”
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PB-STR: A spatiotemporal transformer network for multi-behavior recognition of pigs by Yufan Hu, Xiaobo Wang, Rui Mao, Yusen Guo, Xianyao Zhu, Meili Wang

“…By outperforming models such as DETR, DAB-DETR, Deformable DETR, CenterNet, and DINO, the proposed approach not only enhances detection accuracy but also serves as a technological foundation for intelligent, welfare-oriented pig farming, facilitating in the sector's modernization.…”
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Image denoising algorithm based on multi-channel GAN by Hongyan WANG, Xiao YANG, Yanchao JIANG, Zumin WANG

“…Aiming at the issue that the noise generated during image acquisition and transmission would degrade the ability of subsequent image processing, a generative adversarial network (GAN) based multi-channel image denoising algorithm was developed.The noisy color image could be separated into red-green-blue (RGB) three channels via the proposed approach, and then the denoising could be implemented in each channel on the basis of an end-to-end trainable GAN with the same architecture.The generator module of GAN was constructed based on the U-net derivative network and residual blocks such that the high-level feature information could be extracted effectively via referring to the low-level feature information to avoid the loss of the detail information.In the meantime, the discriminator module could be demonstrated on the basis of fully convolutional neural network such that the pixel-level classification could be achieved to improve the discrimination accuracy.Besides, in order to improve the denoising ability and retain the image detail as much as possible, the composite loss function could be depicted by the illustrated denoising network based on the following three loss measures, adversarial loss, visual perception loss, and mean square error (MSE).Finally, the resultant three-channel output information could be fused by exploiting the arithmetic mean method to obtain the final denoised image.Compared with the state-of-the-art algorithms, experimental results show that the proposed algorithm can remove the image noise effectively and restore the original image details considerably.…”
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A specimen-based database of small-eared shrews (Mammalia, Eulipotyphla, Cryptotis) in the Neotropical Region by Lázaro Guevara, Julieta Vargas-Cuenca, Yolanda Hortelano-Moncada, Fernando A. Cervantes

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Predicting Days on Market to Optimize Real Estate Sales Strategy by Mauro Castelli, Maria Dobreva, Roberto Henriques, Leonardo Vanneschi

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Correlation Between Involute Profile Waviness and Gear Transmission Performance by Zhou Yuansheng, Yue Huijun, Wu Xiangkai, Shi Zhaoyao

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Online rheumatology school as an alternative to traditional educational technologies for patients by O. V. Teplyakova, N. B. Poletaeva, A. V. Sarapulova

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Recognition of chlorophyll rings using YOLOv8 by Guangjun Xu, Zhixia Lin, Yucheng Shi, Jialun Wu, Huabing Xu, Guancheng Wang, Tianyu Zhang

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A novel method for grading urban socio-economic development levels based on NTL data and Landsat data by Xiang Hua, Jiehai Cheng, Yuke Meng, Rongji Luo

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Enhancing indoor place classification for mobile robots using RGB-D data and deep learning architectures by van Eden Beatrice, Botha Natasha

“…A comparison was made between the performance of VGG16, Inception v3, and ResNet50 architectures using RGB data alone. Subsequently, depth information was fused with these RGB models. …”
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Structure and oxygen saturation recovery of sparse photoacoustic microscopy images by deep learning by Shuyan Zhang, Jingtan Li, Lin Shen, Zhonghao Zhao, Minjun Lee, Kun Qian, Naidi Sun, Bin Hu

“…The results demonstrate that MeU-net significantly outperforms traditional interpolation methods and other representative models in structural information and oxygen saturation recovery.…”
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