Mapping the Olfactory Brain: A Systematic Review of Structural and Functional Magnetic Resonance Imaging Changes Following COVID-19 Smell Loss by Hanani Abdul Manan, Rafaela de Jesus, Divesh Thaploo, Thomas Hummel

“…This systematic review consolidates findings from structural and functional MRI studies to explore how COVID-19 SARS-CoV-2-induced smell loss alters the brain. …”
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Family function, coping style and well-being affect job burnout among telecommunication employees: a cross-sectional study in China by Jingjing Song, Xinqing Xu, Hanzhong Zhang, Zhenyu Pan, Jinghua Zhu, Jiangang Shao, Liping Jia

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Causal Associations of Epigenetic Age Acceleration With Stroke and Its Functional Outcome: A Two‐Sample, Two‐Step Mendelian Randomization Study by Baizhi Qiu, Shuyang Wen, Zifan Li, Yuxin Cai, Qi Zhang, Yuting Zeng, Shuqi Zheng, Zhishan Lin, Yupeng Xiao, Jihua Zou, Guozhi Huang, Qing Zeng

“…We aimed to investigate the causal effects of epigenetic age on stroke and its functional outcomes. Methods We conducted a two‐sample Mendelian randomization (MR) analysis to explore the causal relationships between epigenetic age and stroke and its outcomes. …”
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Prediction of Dengue Hemorrhagic Fever Cases Based on Weather Parameters Using Back Propagation Neural Networks (Case Study in Pontianak City) by I T Rahayu, N Nurhasanah, R Adriat

“…The method used is back propagation neural networks with the best network architecture in predicting cases of dengue hemorrhagic fever are [50 40 30 1] and binary sigmoid activation function, bipolar sigmoid and linear function. …”
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A Semi-Analytical Model for Pressure Transient Analysis of Multiple Fractured Horizontal Wells in Irregular Heterogeneous Reservoirs by Cheng Chang, Xuefeng Yang, Weiyang Xie, Dan Dai, Yizhao Chen, Xiaojing Ji, Yanzhong Liang, Bailu Teng

“…The model integrates Green’s function solutions for matrix flow with finite difference methods to simulate fluid flow within complex fracture networks, capturing the heterogeneity of the reservoir and the irregularity of its boundaries. …”
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The role of prefrontal cortex in chronic low back pain with comorbid depression: A resting-state fMRI study by Yanqiao Zhao, Chen Gong, Pan Zhu, Suimin Guo, Yangyang Lin, Yafei Wang, Beibei Feng, Xiaochun Meng, Yuling Wang

“…CLBP patients with comorbid depression exhibit abnormal regional homogeneity in regions involving the DLPFC, and altered functional networks are observed between the DLPFC and other areas. …”
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MicroRNA-486: a dual-function biomarker for diagnosis and tumor immune microenvironment characterization in non-small cell lung cancer by Jun Yu, Yi Shen, Yao Xu, Zhengyang Feng, Yuntian Shen, Yaqun Zhu, Jian Huan, Qiliang Peng

“…Protein–protein interaction (PPI) networks were constructed using STRING to identify key hub genes regulated by miR-486. …”
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Clarifying therapeutic mechanisms of guanxinshutong capsule for cardiac fibrosis treatment by network pharmacology, molecular docking, molecular dynamics simulation, and in vivo ex... by Qixiang Li, Chongyu Shao, Yuanfeng Liu, Li Yu, Jiehong Yang, Haoran Hu, Jia Pu, Jin Han, Haitong Wan

“…To filter core targets, a PPI network was set up. Metascape was utilized to conduct enrichment analysis for the KEGG and GO pathways. …”
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Estimation of Cation Exchange Capacity for Low-Activity Clay Soil Fractions Using Experimental Data from South China by Jun Zhu, Zhong-Xiu Sun

“…Four covariate datasets were combined based on available soil data and environmental variables and various parameters for machine learning techniques including an artificial neural network, a deep belief network, support vector regression and random forest were optimized. …”
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Effects of traditional Chinese exercises or their integration with medical treatments on cognitive impairment: a network meta-analysis based on randomized controlled trials by Jiadong Qiu, Sungmin Kim, Sungmin Kim, Sungmin Kim

“…The extended practice of Tai Chi and Qigong enhances cognitive function in patients with cognitive impairment.…”
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Research on the Optimization of TP2 Copper Tube Drawing Process Parameters Based on Particle Swarm Algorithm and Radial Basis Neural Network by Fengli Yue, Zhuo Sha, Hongyun Sun, Dayong Chen, Jinsong Liu

“…To address the problem of the large number of finite element model meshes and low solution efficiency, the wall thickness uniformity was predicted using a radial basis function (RBF) neural network, and parameter optimization was performed using the particle swarm optimization (PSO) algorithm. …”
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Effects of anti-epidemic (quarantine) measures on people during the COVID-19 pandemic: applying social network analysis to identify the key topics by E. K. Pleshkova, Z. I. Rezanova

“…This analysis was performed using the free software R version 4.4.1, with the assistance of the Quanteda library, built-in “base” packages, and the gsub function.Results. The resulting network consisted of 53 key lexemes, which actors used to respond to quarantine measures in the personality-oriented discourse. …”
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Design of a Classification Recognition Model for Bone and Muscle Anatomical Imaging Based on Convolutional Neural Network and 3D Magnetic Resonance by Ting Pan, Yang Yang

“…In this paper, we use convolutional neural networks to conduct in-depth research and analysis on the classification and recognition of bone and muscle anatomical imaging graphics of 3D magnetic resonance and design corresponding models for practical applications. …”
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Unveiling the genetic basis of floral scent formation in roses using weighted gene co-expression and protein-protein interaction network analyses by Chan Xu, Yuan Chen, Qiaoli Xie, Zongli Hu, Hang Guo, Guoping Chen, Shibing Tian

“…From these, we identified candidate genes through differential expression, functional annotations, and protein-protein interaction (PPI) networks. …”
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Effects of different types of exercise intervention for alleviating breast cancer-related lymphedema: a systematic review protocol and network meta-analysis by Ling Wang, Tingting Cai, Qingmei Huang, Changrong Yuan, Yuanqi Ding

“…Meta-analyses (ie, network and pairwise) will be used to assess the indirect and direct effects of the exercise interventions. …”
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MTCDNet: Multimodal Feature Fusion-Based Tree Crown Detection Network Using UAV-Acquired Optical Imagery and LiDAR Data by Heng Zhang, Can Yang, Xijian Fan

“…While unmanned aerial vehicle (UAV)-acquired RGB imagery, combined with deep learning-based networks, has demonstrated considerable potential, existing methods often rely exclusively on RGB data, rendering them susceptible to shadows caused by varying illumination and suboptimal performance in dense forest stands. …”
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Surface quality prediction and validation of Electro-Fenton chemical mechanical polishing for single crystal SiC based on neural network models by Jiacheng Geng, Jiayun Deng, Zilei Bai, Xiaoning Wen, Jiabin Lu, Qiusheng Yan, Xiaojing Yang

“…A comparative analysis of these three neural network models was conducted to identify the one with the highest prediction accuracy and overall performance. …”
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A new hybrid approach for solving partial differential equations: Combining Physics-Informed Neural Networks with Cat-and-Mouse based Optimization by Nursyiva Irsalinda, Maharani A. Bakar, Fatimah Noor Harun, Sugiyarto Surono, Danang A. Pratama

“…Similar improvements were observed in elliptic and parabolic PDEs, where PINN-CMBO demonstrated unparalleled accuracy and stability across all tested network configurations. The integration of CMBO into PINN enabled efficient parameter initialization, driving a substantial reduction in the loss function compared to conventional PINN approaches. …”
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Comparative Efficacy of Different Exercise Therapies for Cardiorespiratory Fitness in Breast Cancer Survivors: A Systematic Review and Bayesian Network Meta-analysis by Xue Zhou, Yao Yang, Liwen Zhai, Jianing Gan, Conghui Li, Yi Zhu

“…However, there is no consensus on which type of exercise is the most effective in improving cardiorespiratory function of breast cancer survivors. Therefore, this network meta-analysis (NMA) aims to compare the effects of different exercise therapies and explore the possible optimal choice to improve CRF in breast cancer survivors. …”
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Bayesian Q-learning in multi-objective reward model for homophobic and transphobic text classification in low-resource languages: A hypothesis testing framework in multi-objective... by Vivek Suresh Raj, Ruba Priyadharshini, Saranya Rajiakodi, Bharathi Raja Chakravarthi

“…Most Reinforcement Learning (RL) algorithms optimize a single-objective function, whereas real-world decision-making involves multiple aspects. …”
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