Habitat Suitability in the Eyes of the Beholder: Using Random Forest Models to Predict Land Cover Type and Scale of Selection Through Avian Functional Traits by Adisa Julien, Stephanie Melles

“…Using data from the Ontario Land Cover Compilation v2, the Ontario Breeding Bird Atlas (2001–2005), and functional trait data from the AVONET dataset, we trained Random Forest models to predict scale-dependent land cover preferences based on avian functional traits. …”
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Multiscale Contextual Mamba: Advancing Psychiatric Disorder Detection across Multisite Functional Magnetic Resonance Imaging Datasets via State Space Modeling by Shusheng Li, Yang Bo, Yuchu Chen, Jianfeng Cao, Bo Bi, Ting Ma, Chenfei Ye

“…Methods: We propose Multiscale Contextual Mamba (MSC-Mamba), a Mamba-based model designed for capturing long-term dependencies in multivariate time-series data while maintaining linear scalability, allowing us to account for long-range interactions and subtle dynamic patterns within the brain’s functional networks. …”
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Exploring the ϕ-α interaction via femtoscopic study by Faisal Etminan

“…The numerical results show that the correlation functions at small source size (high density nuclear medium) depend on the employed potential model. …”
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Toward an integrated map of genetic interactions in cancer cells by Benedikt Rauscher, Florian Heigwer, Luisa Henkel, Thomas Hielscher, Oksana Voloshanenko, Michael Boutros

“…We devised MINGLE, a computational framework to integrate CRISPR/Cas9 screens originating from different libraries building on approaches pioneered for genetic network discovery in model organisms. We applied this method to integrate and analyze data from 85 CRISPR/Cas9 screens in human cancer cells combining functional data with information on genetic variants to explore more than 2.1 million gene‐background relationships. …”
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Epistatic interaction maps relative to multiple metabolic phenotypes. by Evan S Snitkin, Daniel Segrè

“…An epistatic interaction between two genes occurs when the phenotypic impact of one gene depends on another gene, often exposing a functional association between them. …”
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How Do Particles with Complex Interactions Self-Assemble? by Lara Koehler, Pierre Ronceray, Martin Lenz

“…In living cells, proteins self-assemble into large functional structures based on specific interactions between molecularly complex patches. …”
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Renormalization of the SMEFT to dimension eight: Fermionic interactions I by S. D. Bakshi, M. Chala, Á. Díaz-Carmona, Z. Ren, F. Vilches

“…On this occasion, we concentrate on the running of two-fermion operators induced by pairs of dimension-six interactions. We work mostly off-shell, for which we obtain and provide a new and explicitly hermitian basis of dimension-eight Green’s functions. …”
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Brain-Heart Interaction in Multi-type Saccade Tasks by Jianli Yang, Yanzhe Zhao, Runqi Liu, Xiaofang Li, Wuji Zhao, Yuancheng He, Huaqing Hao, Licong Li, Jieshuo Zhang, Ming Yan, Mingsha Zhang, Xiuling Liu

“…Background: Anatomical studies have indicated that the brain and the heart are connected through multiple pathways. However, the functional interplay between them is unclear, especially for different task states. …”
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Interaction of nanoplastics with metronidazole and ciprofloxacin: The Trojan Horse effect. by Emiliano Perez-Sanchez, Ana Martínez

“…In this study we performed a Density Functional Theory study of polystyrene (PS, a common non-biodegradable thermoplastic polymer) and polylactic acid (PLA, a biodegradable polymer) to understand the capacity to react of these two nanoplastics. …”
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Decreased oxygen permeability of EVOH through molecular interactions by Zs. Peter, Cs. Kenyo, K. Renner, Ch.Krohnke, B. Pukanszky

“…The success of the approach represents a novel way to control oxygen permeation in EVOH and in other polymers with similar functional groups capable of strong interactions.…”
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Oncogene-tumor suppressor gene feedback interactions and their control by Baltazar D. Aguda, Ricardo C.H. del Rosario, Michael W.Y. Chan

“…We propose dynamical models of the aforementioned OCG-TSG interactions and derive stability conditions of the steady states in terms of strengths of cycles in the qualitative interaction network. …”
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Quantitative analysis of protein interaction network dynamics in yeast by Albi Celaj, Ulrich Schlecht, Justin D Smith, Weihong Xu, Sundari Suresh, Molly Miranda, Ana Maria Aparicio, Michael Proctor, Ronald W Davis, Frederick P Roth, Robert P St.Onge

“…Abstract Many cellular functions are mediated by protein–protein interaction networks, which are environment dependent. …”
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Dynamic interaction networks in a hierarchically organized tissue by Daniel C Kirouac, Caryn Ito, Elizabeth Csaszar, Aline Roch, Mei Yu, Edward A Sykes, Gary D Bader, Peter W Zandstra

“…We reconstruct a stem cell intracellular network, and identify PI3K, Raf, Akt, and PLC as functionally distinct signal integration nodes, linking extracellular, and intracellular signaling. …”
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Preventing epileptogenesis by interaction between inositol isomers and proteins by Lia Tsverava, Luka Kharkhelauri, Vincenzo Lagani, Giorgi Gamkrelidze, Veriko Bokuchava, Tamar Kiguradze, Merab Kokaia, Revaz Solomonia

“…Myo‐inositol (MI), the most prevalent isomer, functions as an osmolyte and mediates cell signal transduction. …”
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Internal Speech in Natural Discourse Communication: A Systematic Review and Modeling by Лариса Калмикова, Наталія Харченко, Георгій Калмиков, Інна Мисан, Віктор Коцур

“…This paper aims to discuss the results of the research related to the communicators’ inner speech functions; objectify the naturally existing connections between the internal speech and external components in the process of communication; present a specified model of the senders’ and addressees’ speech communication process. …”
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Universal machine learning interatomic potentials poised to supplant DFT in modeling general defects in metals and random alloys by Fei Shuang, Zixiong Wei, Kai Liu, Wei Gao, Poulumi Dey

“…Our investigation spans diverse scenarios, including grain boundaries and general defects in pure metals, defects in high-entropy alloys, hydrogen-alloy interactions, and solute-defect interactions. Remarkably, the latest EquiformerV2 models achieve DFT-level accuracy on comprehensive defect datasets, with root mean square errors below 5 meV atom ^−1 for energies and 100 meV Å ^−1 for forces, outperforming specialized machine learning potentials such as moment tensor potential and atomic cluster expansion. …”
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Density Functional Theory Simulations of Skaergaardite (CuPd) with a Self-Consistent Hubbard U-Correction by Martino Napoli, Assimo Maris

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Development and Use of Biotechnological System Models in Applied Scientific Research by M. A. Kerimov

“…(Research purpose) The research aims to substantiate the conceptual approach to the functioning of an «operator-machine-animal» biotechnical system, taking into account the subsystem interaction patterns. …”
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Systematic Investigation on Surface Diradicals Using Theoretical Models: 2M/MgO and 2M/BaO (M = Cu, Ag, and Au) by Kohei Tada, Koki Masuda, Ryohei Kishi, Yasutaka Kitagawa

“…In the present study, the adsorptions of model diradical molecules with s-electrons on the MgO (001) and BaO (001) surfaces are investigated using approximate spin projected density functional theory with plane-wave basis (AP-DFT/plane-wave) to provide a systematic discussion of surface–diradical interactions. …”
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Interactions between the Nse3 and Nse4 components of the SMC5-6 complex identify evolutionarily conserved interactions between MAGE and EID Families. by Jessica J R Hudson, Katerina Bednarova, Lucie Kozakova, Chunyan Liao, Marc Guerineau, Rita Colnaghi, Susanne Vidot, Jaromir Marek, Sreenivas R Bathula, Alan R Lehmann, Jan Palecek

“…Our work provides new insights into the interactions, evolution and functions of the enigmatic MAGE proteins.…”
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