Network and systems biology approaches help investigate gene regulatory interactions between Salmonella disease and host in chickens: Model‐based in silico evidence combined with g... by Reza Tohidi, Hoda Javaheri Bargourooshi, Arash Javanmard

“…Objectives This study aims to identify the most important immune‐related genes and their signalling pathways (gene ontology, co‐expression and interactions) and to analyse their accumulation in host‐resistant SE diseases by combining gene expression assays with model‐based in silico evidence. …”
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In silico modelling of organ-on-a-chip devices: an overview by Yue Wang, Lucia Marucci, Lucia Marucci, Lucia Marucci, Martin E. Homer

“…An organ-on-a-chip (OOAC) is a microscale device designed to mimic the functions and complexity of in vivo human physiology. …”
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Pseudotautological Question-Answer Unity in Russian Dialog: National Conditioning of the Models of Phatic Communication by I. A. Kuznetsov

“…It is concluded that the functioning of the phatic pseudotautological question-answer unities in the Russian dialogical discourse has a significant national conditionality: the emphasis in speech interaction is inevitably transferred to the interpersonal relations of the participants in the dialogue, to the value of communication in Russian speech practice.…”
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Information Integration from Distributed Threshold-Based Interactions by Valmir C. Barbosa

“…We consider distributed units that interact by message-passing. Each message carries a tag and causes the receiving unit to send out messages as a function of the tags it has received and a threshold. …”
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Classifying schizophrenia using functional MRI and investigating underlying functional phenomena by Yangyang Liu, Bi Wan, Zixuan Liu, Shuaiqi Zhang, Pei Liu, Ningning Ding, Yuxin Wang, Jun Dong, Moiz Kabeer Ahmad, Haisan Zhang

“…Conclusions: We identified interactions among features within FClus that potentially influence the onset and progression of schizophrenia, including epicenter phenomenon of FClus, FClus for inhibiting schizophrenia, and abnormal function of brain regions without direct impact. …”
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Partition Function Zeros of the Frustrated <i>J</i>₁–<i>J</i>₂ Ising Model on the Honeycomb Lattice by Denis Gessert, Martin Weigel, Wolfhard Janke

“…We study the zeros of the partition function in the complex temperature plane (Fisher zeros) and in the complex external field plane (Lee–Yang zeros) of a frustrated Ising model with competing nearest-neighbor (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>J</mi><mn>1</mn></msub><mo>></mo><mn>0</mn></mrow></semantics></math></inline-formula>) and next-nearest-neighbor (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>J</mi><mn>2</mn></msub><mo><</mo><mn>0</mn></mrow></semantics></math></inline-formula>) interactions on the honeycomb lattice. …”
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Using TLA+/TLC for modeling and verification of cryptographic protocols by Maxim V. Neyzov, Egor V. Kuzmin

“…The third technique consists of optimizing the model to improve the performance of the TLC model checker by defining a function that generates only those elements leading to transitions between states in the model. …”
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HBI: a hierarchical Bayesian interaction model to estimate cell-type-specific methylation quantitative trait loci incorporating priors from cell-sorted bisulfite sequencing data by Youshu Cheng, Biao Cai, Hongyu Li, Xinyu Zhang, Gypsyamber D’Souza, Sadeep Shrestha, Andrew Edmonds, Jacquelyn Meyers, Margaret Fischl, Seble Kassaye, Kathryn Anastos, Mardge Cohen, Bradley E. Aouizerat, Ke Xu, Hongyu Zhao

“…We propose a hierarchical Bayesian interaction (HBI) model to infer cell-type-specific meQTLs, which integrates a large-scale bulk methylation data and a small-scale cell-type-specific methylation data. …”
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Quasiparticle picture of topological phase transitions induced by interactions by S. S. Krishtopenko, A. V. Ikonnikov, F. Hartmann, S. Höfling, B. Jouault, F. Teppe

“…We present a general recipe to describe topological phase transitions in condensed matter systems with interactions. We show that topological invariants in the presence of interactions can be efficiently calculated by means of a non-Hermitian quasiparticle Hamiltonian introduced on the basis of the Green's function. …”
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Accurate neural quantum states for interacting lattice bosons by Zakari Denis, Giuseppe Carleo

“…In recent years, neural quantum states have emerged as a powerful variational approach, achieving state-of-the-art accuracy when representing the ground-state wave function of a great variety of quantum many-body systems, including spin lattices, interacting fermions or continuous-variable systems. …”
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Reality, Information, and Information Observer by Vladimir S. Lerner

“…They emerge in observing multiple impulses’ interactive yes‒no actions modeling information bits. …”
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Vision transformers for automated detection of pig interactions in groups by Gbadegesin Taiwo, Sunil Vadera, Ali Alameer

“…This study presents a new method for the dynamic detection of pig head to rear interaction using the Vision Transformer (ViT). The ViT model achieved a high accuracy in detecting and classifying specific interaction behaviour as trained on the pig contact datasets, capturing interaction behaviour. …”
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Unraveling Cordia myxa’s anti-malarial potential: integrative insights from network pharmacology, molecular modeling, and machine learning by Yufei Miao, Wenkang Liu, Sarah Mohammed Saeed Alsallameh, Norah A. Albekairi, Ziyad Tariq Muhseen, Christopher J. Butch

“…This study establishes a groundwork for comprehending the function of the anti-malaria action of C. myxa.…”
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Genome-wide association studies are enriched for interacting genes by Peter T. Nguyen, Simon G. Coetzee, Irina Silacheva, Dennis J. Hazelett

“…Results We used genetic algorithms to measure fitness of gene-cell set proposals against a series of objective functions that capture data and annotations. The highest information objective function captured protein-protein interactions. …”
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Experimental investigation of gas seepage characteristics in coal seams under gas-water-stress function by Zunguo Zhang, Chao Tang, Yi Chen, Yongqiang Chen, Honghu Zhang, Yifu Zhang

“…The relationship between permeability and effective stress can be modeled using either a quadratic or logarithmic function. …”
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Statistical Study of the Entanglement for Qubit Interacting with an Electromagnetic Field by Neveen Sayed-Ahmed, M. M. Amein, Taghreed M. Jawa, Tahani A. Aloafi, F. S. Bayones, Azhari A. Elhag, J. Bouslimi

“…A statistical method is applied to predict the behaviour of a quantum model consisting of a qubit interacting with a single-mode cavity field. …”
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THE JUSTIFICATION OF MATHEMATICAL MODEL FOR SINGULARLY FIXED CONSOLE by Irina Oblasova, Natalia Shiryaeva

“…The article is dedicated to mathematical model continuous one-dimensional elastic system of beam type- a consoles with irregular interaction with external ambience. …”
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Neuronal CD47 induces behavioral alterations and ameliorates microglial synaptic pruning in wild-type and Alzheimer’s mouse models by Wenjie Hu, Mengting Chen, Yuxue Lin, Hui Zhang, Li Sun, Wei Shao, Yuping Ye, Yujie Cheng, Shanshan Zhou, Panpan Hu, Xingqi Wu, Yin Xu, Kai Wang

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Multi-Layer Modeling and Visualization of Functional Network Connectivity Shows High Performance for the Classification of Schizophrenia and Cognitive Performance via Resting fMRI by Duc My Vo, Anees Abrol, Zening Fu, Vince D. Calhoun

“…Traditional FNC analyses often rely on linear models, which may overlook complex nonlinear interactions. …”
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Comprehensive objective function- guided decomposition-prediction co-optimization framework: Enhanced Transformer model for high-accuracy forecasting of non-stationary runoff by Xiaoqi Guo, Xuehua Zhao, Xueping Zhu, Bowen Zhu, Qiucen Guo, Xixi Wu, Huifang Wang, Jiatong An

“…The framework addresses the nonlinearity and non-stationarity of runoff data by first employing the Walrus Optimizer (WO) to fine-tune SVMD parameters for effective signal decomposition, then leveraging a Bidirectional GRU and Squeeze-and-Excitation Network to enhance the Transformer’s ability to capture temporal dependencies and feature interactions. The study emphasizes systematic validation through multi-metric evaluation, objective function comparison, ablation studies, and model evaluations across three hydrological stations of Fen River Basin in China, aiming to improve forecasting accuracy for water resource management under climate change and human activity impacts. …”
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