Augmented Reality and Computational Simulations for the Preprocedural Planning of Transcatheter Aortic Valve Replacement After Previous Transcatheter Mitral Valve Replacement by Roberta Scuoppo, Chiara Catalano, Eleonora Costagliola, Stefano Cannata, Salvatore Pasta, Caterina Gandolfo

“…This study explores the feasibility and safety of performing TAVR in a patient with a pre-existing TMVR procedure using 3D printing, augmented reality (AR) and computational simulations to optimize preprocedural planning. Computational modeling allowed predictions of the spatial relationship between the TAVR and TMVR devices. …”
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Numerical Simulation of Streaming Discharge Characteristics of Free Metal Particles in SF₆/CF₄ Gas Mixtures Under Highly Heterogeneous Electric Field by Bing Qi, Hui Wang, Chang Liu, Fuyou Teng, Daoxin Yu, Yuxuan Liang, Feihu Wang

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Functional information technology in geometry-graphic training of engineers by Irina D. Stolbova, Evgeniya P. Aleksandrova, Konstantin G. Nosov

“…Computer graphics is an efficient mechanism for the development of students’ spatial thinking. The role of instrumental training of students to the wide use of CAD-systems increases in the solution of educational problems and in the implementation of project tasks, which corresponds to the modern requirements of the professional work of the designer-constructor.In this paper, the following methods are used: system analysis, synthesis, simulation.General geometric-graphic training model of students of innovation orientation, based on the use of a wide range of computer technology is developed. …”
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Development of a circadian-related prognostic signature highlights RBM17 as a stemness regulator in liver cancer by Jingsong Yan, Xiao Yang, Jiabin Lu, Shasha Wu, Yanchen Wang, Yuyang Du, Jingyi Zheng, Fenfen Wang, Han Gao, Hui Yang, Shaoyan Xi, Yan Li

“…Our research aims to elucidate these mechanisms and develop a predictive model for prognosis and treatment responsiveness. …”
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Multimodal lightweight neural network for Alzheimer's disease diagnosis integrating neuroimaging and cognitive scores by Bhoomi Gupta, Ganesh Kanna Jegannathan, Mohammad Shabbir Alam, Kottala Sri Yogi, Janjhyam Venkata Naga Ramesh, Vemula Jasmine Sowmya, Isa Bayhan

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Boundary aware microscopic hyperspectral pathology image segmentation network guided by information entropy weight by Xueying Cao, Hongmin Gao, Ting Qin, Min Zhu, Ping Zhang, Ping Zhang, Peipei Xu, Peipei Xu

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Detection and interpretation of the time-varying seasonal signals in China with multi-geodetic measurements by Liansheng Deng, Yugang Xiao, Qusen Chen, Wei Peng, Zhao Li, Hua Chen, Zhiwen Wu

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Spatiotemporal patterns and driving factors of terrestrial ecosystem gross primary productivity in the Henan Section of the Yellow River Basin by CUI Mengyang, CAO Yanping, WANG Shaokun, YANG Kang

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Berg Balance Scale Scoring System for Balance Evaluation by Leveraging Attention-Based Deep Learning with Wearable IMU Sensors by Zhangli Lu, Huiying Zhou, Honghao Lyu, Haiteng Wu, Shaohua Tian, Geng Yang

“…Thus, to address the limitations of manual scoring and complexities of capturing gait features, we proposed an automated BBS assessment system using an attention-based deep learning algorithm with IMU data, integrating convolutional neural networks (CNNs) for spatial feature extraction, bidirectional long short-term memory (Bi-LSTM) networks for temporal modeling, and attention mechanisms to emphasize informative features. …”
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Evaluating stream power distribution along river longitudinal profiles using Log S – log A plots by Jui-Tien Tsai, Yen-Yu Chiu, Su-Chin Chen

“…A new two-parameter regression model is proposed, addressing inaccuracies in traditional models and providing a more-precise representation of river profiles. …”
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PEMBELAJARAN KEBENCANAAN BAGI MASYARAKAT DI DAERAH RAWAN BENCANA BANJIR DAS BERINGIN KOTA SEMARANG by Erni Suharini, Dewi Liesnoor S dan Edi K Dewi Liesnoor S Edi Kurniawan

“…The high level of flood risk that occurs in Semarang city, raises the level of anxiety in the community , so it needs to have integration in community disaster education . The purpose of this paper is to inform the public profile of the flood prone areas in the form of non-spatial data base ( behavior towards disaster , habits and aspirations of the community in the face of disaster), and a disaster for developing learning models in shaping the character of the community . …”
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Dual Graph for Traffic Forecasting by Long Wei, Zhengxu Yu, Zhongming Jin, Liang Xie, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua

“…It is challenging due to the complex spatial-temporal correlation on road networks. Most existing research works use sequential Graph Neural Networks (GNN) to model traffic inference. …”
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Cropland encroachment on ecological land in Mainland Southeast Asia leads to massive carbon emissions by Danni Su, Kun Yang, Zongqi Peng, Run Sun, Mingfeng Zhang, Xiaofang Yang, Lusha Ma, Jingcong Ma

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Quantifying the relationship between biofilm reduction and thermal tissue damage on metal implants exposed to alternating magnetic fields by Bibin Prasad, Sumbul Shaikh, Reshu Saini, Qi Wang, Serena Zadoo, Varun Sadaphal, David E. Greenberg, Rajiv Chopra

“…Simulations were performed to predict the spatial and temporal heating on the implant surface and surrounding tissue when exposed to AMF.Results The modeling results show that intermittent and slow heating can achieve biofilm reduction with a narrow zone of tissue damage around an implant of less than 3 mm. …”
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Interpretable longitudinal glaucoma visual field estimation deep learning system from fundus images and clinical narratives by Xiaoling Huang, Xiangyin Kong, Yan Yan, Zhiyuan Gao, Zihan Li, Chun Zhang, Kai Jin, Juan Ye

“…The pointwise mean absolute error across five models ranged from 3.098 to 4.131 dB. Heatmaps demonstrated the spatial relationship between fundus damage and vision loss. …”
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Explainable AI Meets Synthetic Data: A Deep Learning Framework for Detecting Network Intrusion in NextG Network Infrastructure by Md Junayed Hossain, Khorshed Alam, Md Fahad Monir, Md Mozammal Hoque, Tarem Ahmed

“…Furthermore, we integrate Local Interpretable Model-Agnostic Explanations (LIME) to make model predictions transparent, increasing trust and usability for practical deployment. …”
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Voxelwise distribution of acute ischemic stroke lesions in patients with newly diagnosed atrial fibrillation: Trigger of arrhythmia or only target of embolism? by Timolaos Rizos, Andreas J Bartsch, Timothy D Johnson, Felix Dittgen, Thomas E Nichols, Uwe Malzahn, Roland Veltkamp

“…Lesions were mapped and modeled voxelwise using Bayesian Spatial Generalised Linear Mixed Modeling to determine differences in infarct locations between stroke patients with new AF, without AF and with AF already known before the stroke.…”
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Non-compaction cardiomyopathy. Part I: clinical and genetic heterogeneity and predictors of unfavorable prognosis by T. G. Vaikhanskaya, L. N. Sivitskaya, T. V. Kurushko, T. V. Rusak, O. D. Levdansky, N. G. Danilenko, O. G. Davydenko

“…Multivariate regression provided a predictive model (R=0,90; R2=0,81; F (5,41) =34,8; p<0,0001) and independent predictors of adverse clinical outcomes of NCM (genetic cause of the disease (pathogenic mutation), LV systolic dysfunction, myocardial fibrosis in 2 or more ventricular segments, and QRS prolongation. …”
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Spatiotemporal patterns of end-of-life passenger vehicle resources in China by DUAN Linlin, SONG Lulu, ZHONG Fanglei, WANG Wanjun, HAO Min, JIAN Xiaomei, CHEN Weiqiang

“…[Methods] Using the Gompertz model and dynamic material flow analysis, this study constructed a predictive framework for passenger vehicle ownership and end-of-life volumes across China’s 4 municipalities and 333 prefecture-level administrative regions. …”
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gamUnet: designing global attention-based CNN architectures for enhanced oral cancer detection and segmentation by Jinyang Zhang, Hongxin Ding, Hongxin Ding, Runchuan Zhu, Weibin Liao, Weibin Liao, Junfeng Zhao, Junfeng Zhao, Min Gao, Xiaoyun Zhang

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