Event-Type Identification in Power Grids Using a Spectral Correlation Function-Aided Convolutional Neural Network by Ozgur Alaca, Ali Riza Ekti, Jhi-Young Joo, Nils Stenvig

“…This study introduces a novel event-type identification method, utilizing a Spectral Correlation Function (SCF)-aided Convolutional Neural Network (CNN). …”
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Text-related functionality and dynamics of visual human pre-frontal activations revealed through neural network convergence by Adva Shoham, Rotem Broday-Dvir, Itay Yaron, Galit Yovel, Rafael Malach

“…Abstract Human prefrontal areas show enhanced activations when individuals are presented with images, under diverse task conditions. However, the functional role of these increased activations remains a deeply debated question. …”
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CAML-PSPNet: A Medical Image Segmentation Network Based on Coordinate Attention and a Mixed Loss Function by Yuxia Li, Peng Li, Hailing Wang, Xiaomei Gong, Zhijun Fang

“…The problems of missed segmentation with fuzzy boundaries of segmented regions and small regions are common in segmentation tasks, and greatly decrease the accuracy of clinicians’ diagnosis. For this, a new network based on PSPNet, using a coordinate attention mechanism and a mixed loss function for segmentation (CAML-PSPNet), is proposed. …”
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State-dependent inter-network functional connectivity development in neonatal brain from the developing human connectome project by Zhiyong Zhao, Ruolin Li, Yihan Wu, Mingyang Li, Dan Wu

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Binary Secretary Bird Optimization Clustering by Novel Fitness Function Based on Voronoi Diagram in Wireless Sensor Networks by Mohammed Abdulkareem, Hadi S. Aghdasi, Pedram Salehpour, Mina Zolfy

“…Minimizing energy consumption remains a critical challenge in wireless sensor networks (WSNs) because of their reliance on nonrechargeable batteries. …”
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Linear and nonlinear multidimensional functional connectivity methods reveal similar networks for semantic processing in EEG/MEG data by Setareh Rahimi, Rebecca L. Jackson, Rebecca L. Jackson, Olaf Hauk

“…However, TL-MDPC remains linear and may therefore miss nonlinear interactions among brain areas.MethodsThus, we introduce Nonlinear TL-MDPC (nTL-MDPC), a novel bivariate functional connectivity method for event-related EEG/MEG applications, and compare its performance to the original linear TL-MDPC. nTL-MDPC describes how well patterns in ROI X at a time point tx can predict patterns of ROI Y at a time point ty using artificial neural networks.ResultsApplying this method and its linear counterpart to simulated data demonstrates that both can identify nonlinear dependencies, with nTL-MDPC achieving up to ~0.75 explained variance under optimal conditions (e.g., high SNR), compared to ~0.65 with TL-MDPC. …”
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Retraction notice: Modelling demand response in smart microgrid with techno and economic objective functions and improvement of network efficiency by Wang Xuan, Zhang Xiaofeng, Zhou Feng, Xu Xiang, Allathadka H.P.

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An animal model with a cardiomyocyte-specific deletion of estrogen receptor alpha: functional, metabolic, and differential network analysis. by Sriram Devanathan, Timothy Whitehead, George G Schweitzer, Nicole Fettig, Attila Kovacs, Kenneth S Korach, Brian N Finck, Kooresh I Shoghi

“…Our study revealed sex-differences in structural parameters in the hearts of cs-ERα-/- mice, with minimal functional differences. Analysis of microarray data revealed differential variations in the expression of 208 genes affecting multiple transcriptional networks. …”
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Combined use of intraoperative MRI and awake tailored microsurgical resection to respect functional neural networks: preliminary experience by Constantin Tuleasca, Henri-Arthur Leroy, Ondine Strachowski, Benoit Derre, Claude-Alain Maurage, Iulia Peciu-Florianu, Nicolas Reyns

“… INTRODUCTION: The combined use of intraoperative MRI and awake surgery is a tailored microsurgical resection to respect functional neural networks (mainly the language and motor ones). …”
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Network pharmacology-based study in polymetformin’s new function of blocking ages/rage pathway curing diabetic complications by Linghong Kong, Hui Wang, Weiwei Jiang, Yun Chen, Zhuoling Du, Qiong Zhang, Jianyue Dong, Changchun Zeng, Hanping Liu

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In silico prediction of differentially expressed genes and functionally grouped networks in patients with inflamed pulp for screening pulpitis biomarkers by Azizeh Asadzadeh, Fatemeh Shams Moattar, Azam Moshfegh

“…Finally, functionally grouped networks by ClueGO software (v2.5.10) were generated.Results: GEO2R analysis of the GSE77459 dataset showed 672 up-regulated genes and 239 down-regulated genes with GB_ACC code. …”
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Efficient Solving of Boundary Value Problems Using Radial Basis Function Networks Learned by Trust Region Method by Mohie Mortadha Alqezweeni, Vladimir Ivanovich Gorbachenko, Maxim Valerievich Zhukov, Mustafa Sadeq Jaafar

“…A method using radial basis function networks (RBFNs) to solve boundary value problems of mathematical physics is presented in this paper. …”
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Effects of Long-Term Heavy Metal Exposure on the Species Diversity, Functional Diversity, and Network Structure of Oral Mycobiome by Jia Li, Shuwei Pei, Lu Feng, Jiangyun Liu, Qiwen Zheng, Xingrong Liu, Ye Ruan, Weigang Hu, Li Zhang, Jingping Niu, Tian Tian

“…Simultaneously, the functional annotation of fungi was performed using FUNGuild, and co-occurrence networks were constructed to analyze the interactions of different functional fungi. …”
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Distinct Functional Connectivity Patterns of Brain Networks Involved in Motor Planning Underlie Verbal and Spatial Working Memory by Emilie Marti, Sélim Yahia Coll, Naz Doganci, Radek Ptak

“…A prevailing hypothesis advances that these functions evolved from fundamental motor abilities, such as action planning and motor control. …”
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Prediction of Head Injury Criteria in Pedestrian Crashes Using Frequency Response Function-Based Deep Neural Networks by Seon-Hong Kim, Seounghyun Lee, Taewung Kim, Je-Heon Han

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Omics Multi-Layers Networks Provide Novel Mechanistic and Functional Insights Into Fat Storage and Lipid Metabolism in Poultry by Farzad Ghafouri, Abolfazl Bahrami, Abolfazl Bahrami, Mostafa Sadeghi, Seyed Reza Miraei-Ashtiani, Maryam Bakherad, Herman W. Barkema, Samantha Larose

“…The gene–miRNA interacting bipartite and metabolic-signaling networks were reconstructed using their interactions. …”
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Synchronization of Complex Dynamical Networks with Hybrid Time Delay under Event-Triggered Control: The Threshold Function Method by Fei Wang, Zhaowen Zheng, Yongqing Yang

“…Event-triggered mechanism is applied for the feedback controllers, in which the triggered function is formed as a nonincreasing function. Both continuous feedback and sampled-data feedback methods are studied. …”
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Active Noise Control Using a Functional Link Artificial Neural Network with the Simultaneous Perturbation Learning Rule by Ya-li Zhou, Qi-zhi Zhang, Tao Zhang, Xiao-dong Li, Woon-seng Gan

“…A linear controller under such situations yields poor performance. A novel functional link artificial neural network (FLANN)-based simultaneous perturbation stochastic approximation (SPSA) algorithm, which functions as a nonlinear mode-free (MF) controller, is proposed in this paper. …”
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Resting-State Network Transitions in Temporal Lobe Epilepsy: Insights From MEG-Based Dynamic Functional Connectivity by M. V. Suhas, Sanjib Sinha, Karunakar Kotegar, M. Ravindranadh Chowdary, K. Raghavendra, Ajay Asranna, L. G. Viswanathan, N. Mariyappa, H. Anitha

Subjects: “…Dynamic functional connectivity…”
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Discrete logic modelling as a means to link protein signalling networks with functional analysis of mammalian signal transduction by Julio Saez‐Rodriguez, Leonidas G Alexopoulos, Jonathan Epperlein, Regina Samaga, Douglas A Lauffenburger, Steffen Klamt, Peter K Sorger

“…Thus, many interactions in literature‐derived networks do not appear to be functional in the liver cells from which we collected our data. …”
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