Properties of virtual MIMO signal and interference in cooperation cognitive networks by Xu BAO, Tie-cheng SONG, Lian-feng SHEN

“…A virtual MIMO scheme based on cooperation of the prim and secondary users was proposed in the wireless cognitive networks.The tight upper and lower bounds about the complimentary cumulative distribution function of the virtual MIMO signal and interference were derived.The asymptotic distributions of the bounds were also obtained.The theoretical derivations and numerical simulations testified that the upper and lower bounds had the same asymptotic distribution.The numerical simulation results reveal that the virtual MIMO technique improves the anti-interference ability of the primary signal.…”
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Protein phosphorylation networks in Baylisascaris procyonis revealed by phosphoproteomic analysis by Qin Meng, Zhikang Li, Qiguan Qiu, Shuyu Chen, Haiyan Gong, Xiaoruo Tan, Xiaoheng Liu, Zhaoguo Chen, Wei Liu

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Functional Connectivity Metrics in Temporal Lobe Epilepsy: A Machine Learning Perspective With MEG by M. V. Suhas, N. Mariyappa, A. Karunakar Kotegar, M. Ravindranadh Chowdary, K. Raghavendra, Ajay Asranna, L. G. Viswanathan, H. Anitha, Sanjib Sinha

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Hybrid Feed Forward Neural Networks and Particle Swarm Optimization for Intelligent Self-Organization in the Industrial Communication Networks by M. Maragatharajan, Aanjankumar Sureshkumar, Rajesh Kumar Dhanaraj, E. Nirmala, Md Shohel Sayeed, Mohammad Tabrez Quasim, Shakila Basheer

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Determining the optimal bid direction of a generation company using the gradient vector of the profit function in the network constraints of the electricity market by Mohammad Ebrahim Hajiabadi, Mahdi Samadi, Mohammad Hassan Nikkhah, Hossein Lotfi, Li Li

“…This paper proposes a novel approach to ascertain the optimal bid price direction for GenCos by leveraging the gradient vector of the profit function within the constraints of the electricity market. …”
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Functional Evolving Patterns of Cortical Networks in Progression of Alzheimer’s Disease: A Graph-Based Resting-State fMRI Study by Wei Li, Wen Wen, Xi Chen, BingJie Ni, Xuefeng Lin, Wenliang Fan, The Alzheimer’s Disease Neuroimaging Initiative

“…Moreover, the most interesting result was that we found two different functional evolving patterns of cortical networks in progression of AD, named ‘temperature inversion’ and “monotonous decline,” but not the same monotonous decline trend as the external functional assessment observed in the course of disease progression. …”
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Prediction by Sigmoid Multilayer Perceptron Artificial Neural Network Function and Model Selection for the Risk Factors Most Affected Human Immunodeficiency by Nazeera Sedeeq Kareem Barznji

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A Dual Filter Based on Radial Basis Function Neural Networks and Kalman Filters with Application to Numerical Wave Prediction Models by Athanasios Donas, Ioannis Kordatos, Alex Alexandridis, George Galanis, Ioannis Th. Famelis

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Graph Neural Network Classification in EEG-Based Biometric Identification: Evaluation of Functional Connectivity Methods Using Time-Frequency Metric by Roghaieh Ashenaei, Ali Asghar Beheshti Shirazi

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Assembly, network stability, and dominant function of bacterial communities in different habitats of a large shallow lake: The role of habitat generalists by Tianxu Zhou, Shuren Wang, Qinglong L. Wu, Jin Zeng

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Lung CT Image Segmentation Using VGG-16 Network with Image Enhancement Based on Bounded Turning Mittag-Leffler Function by Ali M. Hasan, Mohammed Khalaf, Bayan M. Sabbar, Rabha W. Ibrahim, Hamid A. Jalab, Farid Meziane

“…This study proposes a lung CT image segmentation method which includes two steps: (1) a new image enhancement model that uses the bounded turning Mittag-Leffler function to improve the CT images for better segmentation outcomes. (2) a new modified VGG-16 for infection of lung segmentation based on expanding the original VGG-16 network. …”
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Modeling One-Dimensional Nonlinear Consolidation Problems by Physics-Informed Neural Network with Layer-Wise Locally Adaptive Activation Functions by Jie Zhou, De’an Sun, Yang Chen

“…In this paper, the effects of activation function and random state on the PINN are investigated for solving two 1D consolidation problems in saturated soils, and the proposed method for inverse modeling of the two 1D consolidation problems. …”
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Predictors of uveitic macular edema and functional prognostic outcomes: real-life data from the international AIDA Network uveitis registry by Jurgen Sota, Germán Mejía-Salgado, Silvana Guerriero, Gaafar Ragab, Gaafar Ragab, Stefania Costi, Maria Pia Paroli, Andrea Hinojosa-Azaola, Giuseppe Lopalco, Luciana Breda, Henrique Ayres Mayrink Giardini, Alex Fonollosa, Maria Sole Chimenti, Antonio Vitale, Carla Gaggiano, Blanca Aguilar-Barrera, Laura Daniela Rodríguez-Camelo, Guillermo Arturo Guaracha-Basañez, Mohamed Tharwat Hegazy, Mohamed Tharwat Hegazy, Rosanna Dammacco, Valeria Albano, Eduardo Martín-Nares, Santiago Espinosa-Lugo, Mahmoud Ghanema, Maria Morrone, Saverio La Bella, Rafael Alves Cordeiro, Francesco Carubbi, Alessandro Conforti, Piero Ruscitti, Ibrahim AlMaglouth, Rosaria Talarico, Stefano Gentileschi, Petros P. Sfikakis, Valeria Caggiano, Matteo Piga, Adele Civino, Francesca Ricci, Maissa Thabet, Marcello Govoni, Abdurrahman Tufan, Francesca Crisafulli, Jessica Sbalchiero, Sulaiman M. Al-Mayouf, Angela Mauro, Angela Mauro, Soad Hashad, Soad Hashad, Francesca Minoia, Alma Nunzia Olivieri, Samar Tharwat, Samar Tharwat, Maria Cristina Maggio, Abdelhfeez Moshrif, Gian Domenico Sebastiani, Daniela Opris-Belinski, Gülen Hatemi, Gülen Hatemi, Haner Direskeneli, Fatma Alibaz-Öner, Lampros Fotis, José Hernández-Rodríguez, Giovanni Conti, Piercarlo Sarzi Puttini, Ombretta Viapiana, Annarita Giardina, Patrizia Barone, Kalpana Babu, Rana Hussein Amin, Perla Ayumi Kawakami-Campos, Vishali Gupta, Annamaria Iagnocco, Ali Şahin, Antonella Insalaco, Andrés González-García, Ezgi Deniz Batu, Ester Carreño, Emanuela Del Giudice, Cecilia Beatrice Chighizola, Cecilia Beatrice Chighizola, Fabrizio Conti, Alberto Balistreri, Bruno Frediani, Luca Cantarini, Alejandra de-la-Torre, Claudia Fabiani

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Translingual neural stimulation induced changes in intra- and inter-network functional connectivity in mild-moderate traumatic brain injury patients by Daniel Y. Chu, Jiancheng Hou, Thomas Hosseini, Veena A. Nair, Nagesh Adluru, Yuri Danilov, Kurt A. Kaczmarek, Mary E. Meyerand, Mitchell Tyler, Mitchell Tyler, Vivek Prabhakaran

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Application of Generalized Finite Difference Method and Radial Basis Function Neural Networks in Solving Inverse Problems of Surface Anomalous Diffusion by Luchuan Shi, Qiang Xi

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Effect of continuous theta burst stimulation on the glymphatic system, brain network and cognitive function in patients with cerebral small vessel disease by Pei Dai, Hui-xian Yu, Zhao-xia Wang, Si-hao Liu, Chang-bin Liu, Guang-qing Xu

“…The Digital Span Test-backward (DST-backward) scores were significantly higher in the cTBS group than those in the control.ConclusionApplying cTBS to the DLPFC in CSVD may enhance the efficiency of brain glymphatic clearance, optimize network connectivity and improve cognitive function to a certain extent.…”
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Detection of structural-functional coupling abnormalities using multimodal brain networks in Alzheimer’s disease: A comparison of three computational models by Yinping Lu, Luyao Wang, Toshiya Murai, Jinglong Wu, Dong Liang, Zhilin Zhang

Subjects: “…Structural-functional coupling…”
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Convolutional networks can model the functional modulation of the MEG responses associated with feed-forward processes during visual word recognition by Marijn van Vliet, Oona Rinkinen, Takao Shimizu, Anni-Mari Niskanen, Barry Devereux, Riitta Salmelin

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Effects of exercise modalities on physical function and quality of life in patients with heart failure: A systematic review and network meta‐analysis by Jiang‐Ying Li, Lu Chen, Qiu‐Chen Wang, Jian Zhu, Zhen‐Qing Ren, Li‐Chun Wang

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Alterations of white matter functional networks in pediatric drug-resistant temporal lobe epilepsy: A graph theory analysis study by Kexin Huang, Yuxin Xie, Haifeng Ran, Jie Hu, Yulun He, Gaoqiang Xu, Guiqin Chen, Qiane Yu, Xuhong Li, Junwei Liu, Heng Liu, Tijiang Zhang

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