Proteome remodeling in the zoospore-to-vegetative cell transition of the stramenopile Aurantiochytrium limacinum reveals candidate ectoplasmic network proteins. by Alejandro Gil-Gomez, Ben Leyland, Anbarasu Karthikaichamy, Rebecca C Adikes, David Q Matus, Joshua S Rest, Jackie L Collier

“…We conducted time-course proteomics and microscopy to study this transition in the model thraustochytrid Aurantiochytrium limacinum ATCC MYA-1381. …”
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Predicting Wastewater Characteristics Using Artificial Neural Network and Machine Learning Methods for Enhanced Operation of Oxidation Ditch by Igor Gulshin, Nikolay Makisha

“…This study investigates the operational efficiency of the lab-scale oxidation ditch (OD) functioning in simultaneous nitrification and denitrification modes, focusing on forecasting biochemical oxygen demand (BOD₅) concentrations over a five-day horizon. …”
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Dysregulated interleukin networks drive immune heterogeneity in Alzheimer’s disease: an immunogenomic approach to subgroup classification and predictive modeling by Bin Zhang, Binglei Xu, Ruoxian Zhang, Baoying Gong, Jianwen Guo

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I-MPN: inductive message passing network for efficient human-in-the-loop annotation of mobile eye tracking data by Hoang H. Le, Duy M. H. Nguyen, Omair Shahzad Bhatti, László Kopácsi, Thinh P. Ngo, Binh T. Nguyen, Michael Barz, Daniel Sonntag

“…Our approach seamlessly integrates an object detector with a spatial relation-aware inductive message-passing network (I-MPN), harnessing node profile information and capturing object correlations. …”
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American Sign Language Recognition Model Using Complex Zernike Moments and Complex-Valued Deep Neural Networks by Selda Bayrak, Vasif Nabiyev, Celal Atalar

“…CVDNNs are a powerful method capable of addressing the complex optimization issues of traditional deep neural networks more efficiently. CVDNNs, which use complex numbers as input data and complex activation functions in each layer, are expected to deliver superior performance in fields such as robotic systems, biometric technologies, disease diagnosis, and telecommunications. …”
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A network analysis study of anxiety, depression and loneliness among middle-aged and elderly people in Xining area by Bixuan Dong, Bin Li, Xiaowei Fan, Hongru Chen, Zhancui Dang, Ze Li

“…Depression, anxiety, and loneliness are common mental health conditions. Our study conducted network analysis methods to investigate the relationships among anxiety, depression, and loneliness in middle-aged and older individuals in Xining City, Qinghai Province, China (average altitude: 2,261 m). …”
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Multichannel Deep Attention Neural Networks for the Classification of Autism Spectrum Disorder Using Neuroimaging and Personal Characteristic Data by Ke Niu, Jiayang Guo, Yijie Pan, Xin Gao, Xueping Peng, Ning Li, Hailong Li

“…Specifically, a multichannel deep attention neural network (DANN) was proposed by integrating multiple layers of neural networks, attention mechanism, and feature fusion to capture the interrelationships in multimodality data. …”
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Immune-related gene characterization and biological mechanisms in major depressive disorder revealed based on transcriptomics and network pharmacology by Shasha Wu, Shasha Wu, Qing Jiang, Jinhui Wang, Jinhui Wang, Daming Wu, Yan Ren

“…Our approach included differential expression analysis, weighted gene co-expression network analysis (WGCNA), and protein-protein interaction (PPI) network analysis to identify hub genes associated with MDD. …”
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Shared transcriptional regulators and network rewiring identify therapeutic targets linking type 2 diabetes mellitus and hypertension by Claudia Desireé Norzagaray-Valenzuela, Claudia Desireé Norzagaray-Valenzuela, Marco Antonio Valdez-Flores, Josue Camberos-Barraza, Josue Camberos-Barraza, Alberto Kousuke De la Herrán-Arita, Juan Fidel Osuna-Ramos, Javier Magaña-Gómez, Carla Angulo-Rojo, Alma Marlene Guadrón-Llanos, Katia Aviña-Padilla, Loranda Calderón-Zamora

“…Functional enrichment analyses were conducted to elucidate biological processes associated with disease-specific modules.ResultsWe identified distinct regulatory modules: ME3 in T2DM, enriched in metabolic stress response, intracellular trafficking, and inflammation, and ME7 in HTN, enriched in immune response and vascular remodeling. …”
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Mechanism of Salvia miltiorrhiza in the treatment of periodontitis: integrative analyses via network pharmacology, molecular dynamics, and cellular assays by Yabing Chen, Siyu Du, Yijing Guo, Yi Zheng, Lei Wang

“…The intersection of these targets was identified using jvenn, followed by network visualization using STRING and Cytoscape 3.10.2 software. …”
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Neural network prediction model based on Levy flight and natural biomimetic technology for its application in cancer prediction. by Ruiyu Zhan

“…We performed comparative analyses against other methodologies across various functions and public datasets to assess their effectiveness. …”
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Molecular mechanisms of arecoline-induced oral cancer: a network toxicology and molecular docking techniques integrated analysis by Linghan Leng, Xin Wang, Hao Wang, Yingchun Hu, Yaxing Deng, Chenglin Wang

“…Toxicity profiling was conducted using ProTox-3.0 and ADMETlab databases. …”
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A DQN-Based Algorithm for Operational Optimization of Freight Trains in Long Steep Downhill Sections by HE Zhiyu, LI Yinan, LI Hui, JI Zhijun

“…A loss function based on the value function was then constructed, and network parameters were updated iteratively by a batch gradient descent method. …”
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Self‐Catalyzed Chemically Coalescing Liquid Metal Emulsions by Stephanie F. Zopf, Ramón E. Sánchez Cruz, Chloe Kekedjian, Lu Ping, Javier M. Morales Ferrer, Jean Paul Soto Aquino, Rongxuan Xie, Xi Ling, J. William Boley

“…LMEs thus need to be activated by coalescing liquid metal droplets into an electrically conductive network, which usually involves techniques that subject the LME to harsh conditions. …”
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Time Series Data Generation Method with High Reliability Based on ACGAN by Fang Liu, Yuxin Li, Yuanfang Zheng

“…The data generation method based on Generative Adversarial Networks(GANs) is an effective way to solve this problem. …”
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Silicon-Enhanced PVA Hydrogels in Flexible Sensors: Mechanism, Applications, and Recycling by Xiaolei Guo, Hao Zhang, Manman Wu, Zhan Tian, Yanru Chen, Rui Bao, Jinghao Hao, Xiao Cheng, Chuanjian Zhou

“…This study has successfully developed a dual-network hydrogel with exceptional mechanical properties by embedding amino-functionalized polysiloxane (APSi) networks into a polyvinyl alcohol (PVA) matrix. …”
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Identification of neurophysiological signatures of bipolar disorder by resting-state EEG microstate analysis by Keita Taniguchi, Naotsugu Kaneko, Masataka Wada, Mayuko Takano, Sotato Moriyama, Yu Mimura, Hiroyuki Uchida, Shinichiro Nakajima, Yoshihiro Noda

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Repetitive magnetic stimulation with iTBS600 induces persistent structural and functional plasticity in mouse organotypic slice cultures by Han Lu, Shreyash Garg, Maximilian Lenz, Andreas Vlachos

“…Background:: Repetitive transcranial magnetic stimulation (rTMS) is well known for its ability to induce synaptic plasticity, yet its impact on structural and functional remodeling within stimulated networks remains unclear. …”
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Common neural patterns of substance use disorder: a seed-based resting-state functional connectivity meta-analysis by Xiaonan Zhang, Haoyu Zhang, Yingbo Shao, Yang Li, Feifei Zhang, Hui Zhang

“…Additionally, we explored correlations between resting-state functional connectivity (rsFC) patterns and impulsivity scores. …”
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MjCyc: Rediscovering the pathway-genome landscape of the first sequenced archaeon, Methanocaldococcus (Methanococcus) jannaschii by I. Baltsavia, G. Stamoulos, K. Tziavaras, C. Bouas, I. Katikaridou, A. Dermaris, A. Kothari, I. Iliopoulos, R. Caspi, P.D. Karp, N.C. Kyrpides, C.A. Ouzounis

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