Identification of ligand and receptor interactions in CKD and MASH through the integration of single cell and spatial transcriptomics. by Jaime Moreno, Lise Lotte Gluud, Elisabeth D Galsgaard, Henning Hvid, Gianluca Mazzoni, Vivek Das

“…<h4>Results</h4>The analytical framework identified L-R pairs involved in cellular crosstalk in CKD and MASH. Interactions between cell types identified using scRNAseq data were validated by checking the spatial co-presence using the ST data and the co-expression of the communicating targets. …”
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History and modernity: multimodality and interactivity of museums' communication (based on coronation 2023 exhibitions at british museums) by Yuliia Biliuk

“…An Investigation of the use of Digital Interactive Art in Museums preserving Intangible Cultural Assets. https://doi.org/ 1051/shsconf/202419304002 [in English]. …”
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ISPIL: Interactive Sub-Goal-Planning Imitation Learning for Long-Horizon Tasks With Diverse Goals by Cynthia Ochoa, Hanbit Oh, Yuhwan Kwon, Yukiyasu Domae, Takamitsu Matsubara

“…Meta-sub-goal data enable effective planning using a Regression Planning Network (RPN), and a sub-goal switching function helps reduce unnecessary data queries at the high level. …”
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Intricate interactions between fine-scale genetic structure, lifestyle, and dietary habits in the Japanese population by Yichi Chen, Kotoe Katayama, Sachiko Ishida, Seiya Imoto

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Nonlinear Impacts of Surface Exchange Coefficient Uncertainty on Tropical Cyclone Intensity and Air‐Sea Interactions by Robert G. Nystrom, Xingchao Chen, Fuqing Zhang, Christopher A. Davis

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Constraining non-standard neutrino interactions with neutral current events at long-baseline oscillation experiments by Julia Gehrlein, Pedro A. N. Machado, João Paulo Pinheiro

“…This is highly complementary to constraints from SNO data, which, differently from long-baseline neutral current data, is not sensitive to isospin conserving NSIs ε u A $$ {\varepsilon}_u^A $$ = ε d A $$ {\varepsilon}_d^A $$ . …”
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Performance of phenomic selection in rice: Effects of population size and genotype-environment interactions on predictive ability. by Hugues de Verdal, Vincent Segura, David Pot, Niclolas Salas, Vincent Garin, Tatiana Rakotoson, Louis-Marie Raboin, Kirsten VomBrocke, Julie Dusserre, Sergio Antonion Castro Pacheco, Cecile Grenier

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Discovering Genetic Interactions in Large-Scale Association Studies by Stage-wise Likelihood Ratio Tests. by Mattias Frånberg, Karl Gertow, Anders Hamsten, PROCARDIS consortium, Jens Lagergren, Bengt Sennblad

“…We apply our methodology to genetic data from the PROCARDIS coronary artery disease case/control cohort and discover three distinct interactions. …”
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IMPLEMENTATION OF ANDROID-BASED INTERACTIVE MULTIMEDIA ON ATOM STRUCTURE MATERIALS ON LEARNING OUTCOMES AND STUDENT MOTIVATION by Sandy Yudha, Nurfajriani Nurfajriani, Ramlan Silaban

“…The data collection instruments used in this study were questionnaires (questionnaires) and tests. …”
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Intention Recognition in Physical Human-Robot Interaction Based on Radial Basis Function Neural Network by Zhiguang Liu, Jianhong Hao

“…To obtain training samples, adaptive impedance control method is used to control the robot during the data acquisition process, and then the data matching is executed due to the phase delay of the impedance function. …”
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Artificial intelligence in traditional Chinese medicine: advances in multi-metabolite multi-target interaction modeling by Yu Li, Xiangjun Liu, Jingwen Zhou, Fengjiao Li, Yuting Wang, Qingzhong Liu

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Development Of Interactive Learning Media Based On The Google Sites Website Assisted With Wordwall On Logarithm Material by Zahroatul Fitroh, Zainullah Zuhri

“…Next, the data was analyzed using a Likert measurement scale. …”
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A Set of Interaction Potentials for Molecular Dynamics Simulations of YPO₄ Crystal by Kirill A. Nekrasov, Yulia A. Kuznetsova, Dmitry V. Raikov, Vyacheslav V. Pchelnikov

“…A set of empirical pair interaction potentials for molecular dynamics (MD) modeling of the YPO₄ crystal is proposed. …”
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Permafrost–wildfire interactions: active layer thickness estimates for paired burned and unburned sites in northern high latitudes by A. C. Talucci, M. M. Loranty, J. E. Holloway, B. M. Rogers, H. D. Alexander, N. Baillargeon, J. L. Baltzer, L. T. Berner, A. Breen, L. Brodt, B. Buma, B. Buma, J. Dean, C. J. F. Delcourt, L. R. Diaz, C. M. Dieleman, T. A. Douglas, G. V. Frost, B. V. Gaglioti, R. E. Hewitt, T. Hollingsworth, T. Hollingsworth, M. T. Jorgenson, M. J. Lara, R. A. Loehman, M. C. Mack, K. L. Manies, C. Minions, S. M. Natali, J. A. O'Donnell, D. Olefeldt, A. K. Paulson, A. V. Rocha, L. B. Saperstein, T. A. Shestakova, T. A. Shestakova, T. A. Shestakova, S. Sistla, O. Sizov, A. Soromotin, M. R. Turetsky, S. Veraverbeke, M. A. Walvoord

“…The FireALT dataset addresses a key challenge: the ability to assess impacts of wildfire on ALT when measurements are taken at various times throughout the thaw season depending on the time of field campaigns (typically June through August) by estimating ALT at the end-of-season maximum. This dataset can be used to address understudied research areas, particularly algorithm development, calibration, and validation for evolving process-based models as well as extrapolating across space and time, which could elucidate permafrost–wildfire interactions under accelerated warming across the high-northern-latitude permafrost zone. …”
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An experimental-computational analysis of molecular interactions and its effect on thermodynamic properties of mixtures of isobutanol and ethylbenzene by Zahra Fakhri, Azim Soltanabadi

“…The Redlich-Kister polynomial equation was used to fit the data. The interactions between both components and their mixtures were analyzed and the system's non-ideal behavior was discussed. …”
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INTERACTION OF IRREGULARITIES IN THE STANDARD OF SURVEYING AND CARTOGRAPHIC DOCUMENTATION WITH RAIL TRANSPORT PROBLEMS: A CASE STUDY by Arkadiusz KAMPCZYK, Katarzyna ROMBALSKA

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Efficient and accurate framework for genome-wide gene-environment interaction analysis in large-scale biobanks by Yuzhuo Ma, Yanlong Zhao, Ji-Feng Zhang, Wenjian Bi

“…SPAGxEmixCCT can further be extended to SPAGxEmixCCT-local, which identifies ancestry-specific G×E effects using local ancestry. Through extensive simulations and real data analyses of UK Biobank data, we demonstrate that SPAGxECCT and SPAGxEmixCCT are scalable to analyze large-scale study cohort, control type I error rates effectively, and maintain power.…”
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Accurate prediction of protein–ligand interactions by combining physical energy functions and graph-neural networks by Yiyu Hong, Junsu Ha, Jaemin Sim, Chae Jo Lim, Kwang-Seok Oh, Ramakrishnan Chandrasekaran, Bomin Kim, Jieun Choi, Junsu Ko, Woong-Hee Shin, Juyong Lee

“…Abstract We introduce an advanced model for predicting protein–ligand interactions. Our approach combines the strengths of graph neural networks with physics-based scoring methods. …”
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Understanding Epistatic Interactions between Genes Targeted by Non-coding Regulatory Elements in Complex Diseases by Min Kyung Sung, Hyoeun Bang, Jung Kyoon Choi

“…In this work, we studied epistatic interactions associated with three common diseases using Korea Association Resource (KARE) data: type 2 diabetes mellitus (DM), hypertension (HT), and coronary artery disease (CAD). …”
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Developing a Business Model for Extreme Sports Clubs: An Approach based on Financial and Capital Interaction by Maryam Amini, Seyed Hossein Marashian, Amin Khatibi, Esmaeil Veisia

“…The thematic analysis approach of Brown and Clark (2006) was used for data analysis.Findings: The findings show that the business model in extreme sports clubs has three basic elements: tangible assets, intangible assets, and stakeholders. …”
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