Disentangling degree and tie strength heterogeneity in egocentric social networks by Sara Heydari, Gerardo Iñiguez, János Kertész, Jari Saramäki

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A novel radiomics model combining GTVp, GTVnd, and clinical data for chemoradiotherapy response prediction in patients with advanced NSCLC by Ya Li, Ya Li, Ya Li, Ya Li, Min Zhang, Min Zhang, Min Zhang, Min Zhang, Yong Hu, Dan Zou, Bo Du, Youlong Mo, Tianchu He, Mingdan Zhao, Benlan Li, Benlan Li, Benlan Li, Benlan Li, Ji Xia, Ji Xia, Ji Xia, Ji Xia, Zhongjun Huang, Zhongjun Huang, Zhongjun Huang, Zhongjun Huang, Fangyang Lu, Bing Lu, Bing Lu, Bing Lu, Jie Peng, Jie Peng, Jie Peng, Jie Peng

“…GTVp was delineated using lung windows, and GTVnd was delineated using mediastinal windows. Radiological features were extracted using Python 3.6, then subjected to F-test and Lasso regression for feature selection. …”
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visPIG--a web tool for producing multi-region, multi-track, multi-scale plots of genetic data. by Matthew Scales, Roland Jäger, Gabriele Migliorini, Richard S Houlston, Marc Y R Henrion

“…Other locally run data visualisation software such as Circos require significant computer skills of the user. The visPIG web application is a menu-based interface that allows users to upload custom data tracks and set track-specific parameters. …”
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An Enhanced Generative Adversarial Network Prediction Model Based on LSTM and Attention for Corrosion Rate in Pipelines by Pujun Long, Mi Liang, Hongjian Chen, Qin Yang

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Numerical Analysis of the Blast Wave Propagation due to Various Explosive Charges by Lucia Figuli, Damjan Cekerevac, Chiara Bedon, Bohuš Leitner

“…Compared to ideal theoretical formulations, however, real explosive events can be strongly sensitive to a multitude of parameters and first of all to the basic features (size, type, shape, etc.) of the charge. …”
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Formulation of low temperature mixed mode crack propagation behavior of crumb rubber modified HMA using artificial intelligence by Sepehr Ghafari, Mehrdad Ehsani, Sajad Ranjbar, Mohammad Nabi Nazari, Fereidoon Moghadas Nejad

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Strength Prediction of Geopolymer Concrete With Wide-Ranged Binders and Properties Using Artificial Neural Network by Md Merajul Islam, Md Al-Mamun Provath, G. M. Sadiqul Islam, Md Tariqul Islam

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Dynamic Analysis of Horizontally Curved Thin-Walled Box-Girder Bridge due to Moving Vehicle by K. Nallasivam, Anjan Dutta, Sudip Talukdar

“…The curved box-girder bridge has been numerically modeled using computationally efficient thin-walled box-beam finite elements which take into account the torsional warping, distortion and distortional warping, that are important features of thin-walled box girders. …”
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Return Loss Optimization in Rectangular Microstrip Patch Antennas Using Response Surface Methodology (RSM) for 5G Applications by Thi Bich Ngoc Tran, Van Su Dang

“…People increasingly rely on the Internet of Things, cloud computing, and big data analytics. These services require higher data rates, faster transmission and reception times, greater coverage, and increased throughput. 5G technology supports all of these features. …”
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Exploring Darcy dissipation modulation of nanofluid with titanium dioxide (TiO2) and copper (Cu) for enhanced thermal performance in a vertical sheet by P.K. Pattnaik, MD. Shamshuddin, S.R. Mishra, Subhajit Panda

“…The skin friction and Nusselt number are computed and compared for the bvp5c and HPM for different parameters. …”
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ESLiteU²-Net: A Lightweight U²-Net for Road Extraction From High-Resolution Remote Sensing Images by Rui Xu, Zhenxing Zhuang, Renzhong Mao, Yihui Yang

“…Compared to U2-Net, the proposed model not only achieves superior accuracy but also reduces computational load and parameter number by 30.98% and 81.91%, respectively, achieving a balanced combination of lightweight design, efficiency, and accuracy for road extraction.…”
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Modeling operation modes of hydraulic drives with frequency-throttle regulation of mobile transport and overloading ropes complexes by Lagerev A.V., Tarichko V.I., Lagerev I.A.

“…The model provides computer simulation of the time-varying processes of such basic hydraulic drive technical characteristics as pressures and volumetric flow rates of the working fluid at characteristic points along the length of the hydraulic system, pressure drop across the hydraulic motor and instantaneous hydraulic drive power, as well as kinematic and force parameters of the movement of traction and carrying ropes (distance traveled, linear speed and acceleration, required power, overcome operational loads). …”
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Developing an innovative lung cancer detection model for accurate diagnosis in AI healthcare systems by Wang Jian, Amin Ul Haq, Noman Afzal, Shakir Khan, Hadeel Alsolai, Sultan M. Alanazi, Abu Taha Zamani

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Bayesian Inertia Estimation via Parallel MCMC Hammer in Power Systems by Weidong Zhong, Chun Li, Minghua Chu, Yuanhong Che, Shuyang Zhou, Zhi Wu, Kai Liu

“…The proposed methodology establishes a probabilistic estimation paradigm that systematically combines prior engineering knowledge with real-time measurements, while the Affine-Invariant Ensemble Sampler mechanism overcomes high-dimensional computational barriers through its unique ensemble-based exploration strategy featuring stretch moves and parallel walker coordination. …”
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A Rational Threshold Signature Model and Protocol Based on Different Permissions by Bojun Wang, Cheng Cai, Quan Zhou

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Cross-Domain Facial Expression Recognition Based on Transductive Deep Transfer Learning by Keyu Yan, Wenming Zheng, Tong Zhang, Yuan Zong, Chuangao Tang, Cheng Lu, Zhen Cui

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Multi task detection method for operating status of belt conveyor based on DR-YOLOM by Yongan LI, Tengjie CHEN, Hongwei WANG, Zhihao ZHANG

“…Secondly, as the model requires target recognition and segmentation of different types of tasks, an efficient layer aggregation network (RepGFPN) with skip layer connection structure is adopted to optimize the feature fusion part, greatly improving the detection accuracy of the model for different detection tasks while controlling the number of model parameters and inference speed; Finally, to address the detection tasks of three different label shapes, the Inner CIOU loss function is introduced to compensate for the weak generalization ability of the CIoU loss function in different detection tasks. …”
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Designing of a Simulation Tool for the Performance Analysis of Hybrid Data Center Networks (DCNs) by Muhib Ahmad, Farrukh Zeeshan Khan, Zeshan Iqbal, Muneer Ahmad, Ihsan Ali, Sultan S. Alshamrani, Muhammad Talha, Muhammad Ahsan Raza

“…Data center (DC) technology changes the mode of computing. Traditional DCs consist of a single layer and only have Ethernet connections among switches. …”
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Audio copy-move forgery detection with decreasing convolutional kernel neural network and spectrogram fusion by Canghong Shi, Xin Qiu, Min Wu, Xianhua Niu, Xiaojie Li, Sani M. Abdullahi

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Temperature-Change-Based Thermal Tomography by Yong Xu, Xiangyu Wei, Ge Wang

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