Modern trends in diagnostics and prediction of results of anti-vascular endothelial growth factor therapy of pigment epithelial detachment in neovascular agerelated macular degener... by E. V. Kozina, S. N. Sakhnov, V. V. Myasnikova, E. V. Bykova, L. E. Aksenova

“…The pigment epithelium tear of 3–4th degrees can lead to a sharp decrease in visual acuity.Most retrospective studies confi rm the absence of a proven correlation between anatomical and functional outcomes in the treatment of pigment epithelial detachment in cases of maintaining the integrity of the pigment epithelium monolayer, and therefore the main attention of researchers is focused on studying the morphological features of pigment epithelial detachment during therapy with angiogenesis inhibitors. …”
Get full text

An Improved HM-SAC-CA Algorithm for Mobile Robot Path Planning in Unknown Complex Environments by Ting Jiao, Conglin Hu, Lingxin Kong, Xihao Zhao, Zhongbao Wang

“…The staged incentive mechanism uses both the sparse reward function and the posture reward function in stages to reduce the blindness of exploration during training and accelerate the training learning process. …”
Get full text

Elements of artificial intelligence in a predictive personalized model of pharmacotherapy choice in patients with heart failure with mildly reduced ejection fraction of ischemic or... by O. A. Osipova, A. V. Kontsevaya, V. V. Demko, E. V. Gosteva, A. A. Komisov, А. A. Kuzub, A. V. Serdyukova, A. S. Brizhaneva, R. N. Shepel, O. M. Drapkina

“…The designed NN model is implemented in the Matlab software package for solving machine learning and Data Science problems. The NN model is represented as a connected graph and NN function. …”
Get full text

Pavement condition detection using acceleration data collected by smartphones based on 1D convolutional neural network by Yudong Han, Zhaobo Li, Jiaqi Li

“…Five types of 1D-CNN with different activation functions and network structures were designed to classify the data and were compared with machine learning algorithms, including support vector machine (SVM) and radial basis function (RBF) neural networks. …”
Get full text

Dietary diversity and cognitive performance in older adults: a systematic review by Sorayya Kheirouri, Hamed Alizadeh

Get full text

Wind Turbine Airfoil Noise Prediction Method Based on Generalized Airfoil Database and Residual Neural Network by Quan Wang, Haoran Zhang, Xiaodi Wang, Yang Ni

“…This was achieved by employing airfoil functional integration theory, B-spline curves, and the Class function/Shape function Transformation (CST) method while varying coefficients and control vector parameters. …”
Get full text

EFM-ResNet: A Feature Enhanced Network for Tobacco Strips Classification by Bo Zhang, Shanshan Zheng, Leyuan Han, Yucan Qiu

“…Finally, a WFL loss function is used to address the limitations of the traditional cross-entropy loss function. …”
Get full text

Intratumoural CD8+ CXCR5+ follicular cytotoxic T cells have prognostic value and are associated with CD19+ CD38+ B cells and tertiary lymphoid structures in colorectal cancer by Fangze Wei, Xiaotian Xu, Jing Wang, Shi Wen Mei, Fu Qiang Zhao, Fei Huang, Ti Xian Xiao, Guo Jing Wang, Baojun Wei, Shengkai Huang, Wei Cui

Get full text

Pulmonary diseases accurate recognition using adaptive multiscale feature fusion in chest radiography by Mengran Zhou, Lipeng Gao, Kai Bian, Haonan Wang, Ning Wang, Yue Chen, Siyi Liu

Get full text

A CNN-Based Approach for Classical Music Recognition and Style Emotion Classification by Yawen Shi

Get full text

The contributing role of CCR5 in dementia by Tong Zheng, Meiping Ye, Meiping Ye, Pingyu Zhou, Pingyu Zhou

“…It will cover the involvement of CCR5 in standard learning and memory functions, as well as in various types of dementia. …”
Get full text

Self-Supervised Three-Dimensional Ocean Bottom Node Seismic Data Shear Wave Leakage Suppression Based on a Dual Encoder Network by Zhaolin Zhu, Zhihao Chen, Bangyu Wu, Lin Chen

Get full text

Towards precision agriculture tea leaf disease detection using CNNs and image processing by Irfan Sadiq Rahat, Hritwik Ghosh, Suresh Dara, Shashi Kant

“…This stage features a dropout layer for regularization, a dense layer with 512 units for further pattern learning, and a final dense layer with 8 units and a soft max activation function, producing a probability distribution across different disease classes. …”
Get full text

Multi-class segmentation of knee MRI based on hybrid attention by Yuhang Xiang, Xinglin Zhang, Tao Meng, Tao Meng, Tao Chen, Tao Chen

“…The improved loss function enhances the model's ability to learn underrepresented classes, thus enhancing the overall segmentation performance.ResultsWe evaluated the proposed method on a knee MRI dataset and compared it with U-Net. …”
Get full text

A DEM super resolution reconstruction method based on normalizing flow by Jie Yu, Yangtenglong Li, Xuan Bai, Ronghao Yang, Mengxue Cui, Haohao Wu, Zheng Li, Fangzheng Su, Ze Li, Taohuai Liang, Hongliang Yan

“…The negative log-likelihood function and pixel loss function are used to accelerate the optimization to generate high-resolution DEM images that are closer to the natural terrain. …”
Get full text

EsoDetect: computational validation and algorithm development of a novel diagnostic and prognostic tool for dysplasia in Barrett’s esophagus by Migla Miskinyte, Benilde Pondeca, José B. Pereira-Leal, Joana Cardoso

Get full text

Tree semantic segmentation from aerial image time series by Venkatesh Ramesh, Arthur Ouaknine, David Rolnick

Get full text

A Method for Recognizing Dead Sea Bass Based on Improved YOLOv8n by Lizhen Zhang, Chong Xu, Sai Jiang, Mengxiang Zhu, Di Wu

Get full text

Exposure to unpredictable childhood environments is associated with amygdala activation during early extinction in adulthood by Jessica M. Duda, Taylor J. Keding, Sahana Kribakaran, Paola Odriozola, Elizabeth R. Kitt, Emily M. Cohodes, Sadie J. Zacharek, Sarah McCauley, Jason T. Haberman, Jutta Joormann, Dylan G. Gee

“…Early adversity can alter the maturation and function of neural regions that support affective functioning, including threat and safety learning. …”
Get full text

Automated measurement and correlation analysis of fundus tessellation and optic disc characteristics in myopia by Zhen Guo, Lingzhi Chen, LiLong Wang, Yan Gao, Qianqian Liang, Shuyue Xue, Qing Du, Zhichun Zhang, Bin Lv, Guanzheng Wang, Guotong Xie, Jun Li

“…Abstract This study aims to quantify fundus tessellated (FT) density and optic disc (OD) morphology using deep learning (DL) techniques and to investigate the correlations between these fundus characteristics and refractive function in young patients with myopia. …”
Get full text