Symptom and functional networks of patients with cancer in different latent risk subgroups based on patient-reported outcomes by Xiaojuan Hu, Zhihui Duan, Xiaokun Li, Hongyan Cao, Hui Zhao, Yanbo Zhang

“…We aimed to explore latent risk subgroups and delineate multidimensional networks of symptoms and functions based on PROs in this study. …”
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Clinical efficacy of non-pharmacological treatment of functional constipation: a systematic review and network meta-analysis by Shufa Tan, Chengtao Peng, Xin Lin, Chuanyue Peng, Yunyi Yang, Shuang Liu, Ling Huang, Yuhong Bian, Yuwei Li, Chen Xu

“…The quality of the included studies was evaluated using the Cochrane bias risk tool and Review Manager 5.4, and the evidence was graded using GRADEPro. A network meta-analysis (NMA) was conducted using R Studio, and the surface under the cumulative ranking curve (SUCRA) was used to rank the included drugs for each outcome measure to compare the clinical efficacy of different treatment methods for chronic functional constipation.ResultsA total of 29 RCT studies were included, with a total of 4389 patients with functional constipation who were randomly assigned to receive placebo or one of the nine different non-pharmacological treatment methods. …”
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Adaptive Broadcast Scheme with Fuzzy Logic and Reinforcement Learning Dynamic Membership Functions in Mobile Ad Hoc Networks by Akobir Ismatov, BeomKyu Suh, Jian Kim, YongBeom Park, Ki-Il Kim

“…Traditional fuzzy logic-based schemes that often rely on static fuzzy tables and fixed membership functions are limiting their ability to adapt to evolving network conditions. …”
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Desensitized Financial Data Generation Based on Generative Adversarial Network and Differential Privacy by Fan Zhang, Luyao Wang, Xinhong Zhang

“…This paper proposes a Noise Visibility Function-Differential Privacy Generative Adversarial Network (NVF-DPGAN) model, which generates privacy preserving data similar to the original data, and can be applied to data augmentation for deep learning. …”
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Neural Network Method for Solving Time Fractional Diffusion Equations by Feng Gao, Chunmei Chi

“…We first used the Method of Lines to discretize the equation in the space domain while keeping the time domain continuous, and represent the solution of the diffusion equation using a neural network. Then we used Gauss–Jacobi quadrature to approximate the fractional derivative in the time domain, thereby obtaining the loss function for the neural network. …”
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Altered Structure-Function Coupling Associated with Attention Decline in Shift Work Disorder by Wu Z, Feng S, Li K, Dong L, Zhang L, Ning Y, Yin D

“…All participants underwent an attentional network test to evaluate their functions. Finally, Pearson’s correlation analysis was conducted to analyze the association between aberrant attentional network function and altered structural and functional connectivity (SC-FC) coupling in patients with SWD.Results: Compared to healthy subjects, decreased alerting and executive functions were found in patients with SWD. …”
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Methodological Considerations in Conducting an Olfactory fMRI Study by Faezeh Vedaei, Mohammad Fakhri, Mohammad Hossein Harirchian, Kavous Firouznia, Yones Lotfi, Mohammad Ali Oghabian

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Novel electrically conductive polyurethane/montmorillonite-polypyrrole nanocomposites by S. D. A. S. Ramoa, G. M. O. Barra, C. Merlini, S. Livi, B. G. Soares, A. Pegoretti

“…The present study demonstrated the potential use of Mt-PPy.DBSA as new promising conductive nanofiller to produce highly conductive polymer nanocomposites with functional properties.…”
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Predictive Modeling of soil salinity integrating remote sensing and soil variables: An ensembled deep learning approach by Sana Arshad, Jamil Hasan Kazmi, Endre Harsányi, Farheen Nazli, Waseem Hassan, Saima Shaikh, Main Al-Dalahmeh, Safwan Mohammed

“…Subsequently, deep learning architectures, including a Feedforward Neural Network (FFNN), Recurrent Neural Network (RNN), and Long Short-Term Memory (LSTM), were employed to predict soil salinity. …”
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Exploring the Impact of Streets’ Syntactic Properties on the Urban Functions and Land Use: Insights from Spatial Network Analysis by Aya Furat Alobaydi, Dhirgham Alobaydi, Sally Fakhri Abdullah

“…In this research, a multi-method approach is used, incorporating GIS, space syntax analysis, statistical correlations, and site observations, to systematically analyze the syntactic properties of the street network in Old Rusafa. The examination was conducted within a 400m radius of Old Rusafa's historic urban fabric to analyze the syntactic processes that govern the city’s functionality and accessibility despite the multiple morphological changes that have happened in the area. …”
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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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Multi-Fidelity Surrogate Modeling via Hierarchical Kriging With Infinite-Width Bayesian Neural Network Correlation Function by Youwei He, Jiangshuo Cui

“…To mitigate the curse of dimensionality of HK for high-dimensional problems, an infinite-width Bayesian neural network correlation function is developed and incorporated to the HK model. …”
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Adaptive sliding mode fault-tolerant control of UAV systems based on radial basis function neural networks by Dehua Zhang, Lei Meng, Yao Hao, Ruixue Xia

“…To improve system resilience and achieve swift recovery without depending on fault detection, a passive Fault-Tolerant Control (FTC) approach is developed, combining Sliding Mode Control (SMC) with Radial Basis Function (RBF) neural networks. The RBF network, utilizing its robust approximation abilities, is applied to dynamically estimate system uncertainties, thereby alleviating the chattering issue typical of traditional SMC and minimizing its negative effects on system reliability and operation. …”
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Causal Links Between Brain Functional Networks and Endometriosis: A Large-Scale Genetic-Driven Observational Study by Feng S, Wang Y, Liu S, Zhang Y, He L

“…Recent evidence suggests a bidirectional link between endometriosis and brain functional networks, though the causal mechanisms remain unclear. …”
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Neural Correlates of Flight Acceleration in Pigeons: Gamma-Band Activity and Local Functional Network Dynamics in the AId Region by Suchen Li, Zhuo Tang, Mengmeng Li, Lifang Yang, Zhigang Shang

“…In parallel, local functional network analysis showed that the clustering coefficient of gamma-band activity in the AId followed a nonlinear, U-shaped relationship with flight acceleration—exhibiting the strongest and most widespread connectivity during deceleration, moderate connectivity during acceleration, and the weakest network coupling during steady flight. …”
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Disrupted functional connectivity between visual and emotional networks in psychosis risk syndromes through representational similarity analysis by Xi Ruan, Lang Zhang, Mingjun Duan, Dezhong Yao, Dezhong Yao, Cheng Luo, Cheng Luo, Cheng Luo, Hui He

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Network modeling identifies molecular functions targeted by miR-204 to suppress head and neck tumor metastasis. by Younghee Lee, Xinan Yang, Yong Huang, Hanli Fan, Qingbei Zhang, Youngfei Wu, Jianrong Li, Rifat Hasina, Chao Cheng, Mark W Lingen, Mark B Gerstein, Ralph R Weichselbaum, H Rosie Xing, Yves A Lussier

“…Consequently, biological studies have yet to identify, on a genome scale, key regulatory networks perturbed by altered microRNA functions in the context of cancer. …”
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Brain functional connectivity correlates of autism diagnosis and familial liability in 24-month-olds by John R Pruett Jr., Alexandre A Todorov, Zoë W Hawks, Muhamed Talovic, Tomoyuki Nishino, Steven E Petersen, Savannah Davis, Lyn Stahl, Kelly N Botteron, John N Constantino, Stephen R Dager, Jed T Elison, Annette M Estes, Alan C Evans, Guido Gerig, Jessica B Girault, Heather Hazlett, Leigh MacIntyre, Natasha Marrus, Robert C McKinstry, Juhi Pandey, Robert T Schultz, William D Shannon, Mark D Shen, Abraham Z Snyder, Martin Styner, Jason J Wolff, Lonnie Zwaigenbaum, Joseph Piven, for the IBIS Network

“…Functional connectivity for implicated connections in these networks was consistently lower in HLP and HLN than in LLN (p = 0.0461 and 0.0004). …”
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Investigation of functional connectivity differences based on anxiety tendencies by Misuzu Oishi, Noriko Sakurai, Yuki Kawasaki, Kei Sasaki, Satoshi Kasai, Naoki Kodama

“…Notably, only a few studies have been conducted on healthy participants, and the relationship between anxiety and functional brain connectivity in the healthy range remains unclear. …”
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Performance optimization solutions for NFV data plane by Yukai HUANG, Jinkun GENG, Ruilin LING, Dan LI

“…In recent years,network function virtualization (NFV) is arousing concern widely from both academia and industry due to its flexible deployment and low cost.However,the performance bottleneck becomes increasingly distinctive and hinders the progress of NFV technology.The major factors were studied which could seriously affect the performance of NFV data plane.Firstly,an analysis was conducted on the causes for various kinds of performance overheads.Then,the optimization solutions were summarized to mitigate these overheads.Finally,a brief introduction was made on two types of architecture,which could significantly improve the performance of NFV data plane.…”
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