Circuits in the motor cortex explain oscillatory responses to transcranial magnetic stimulation by Lysea Haggie, Thor Besier, Angus McMorland

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Can Fatalism Explain why Entrepreneurs Tend to Save so Much? by Gabriele Ruiu

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Explaining Political Efficacy in Deliberative Procedures - A Novel Methodological Approach by Brigitte Geissel, Pamela Hess

“…So far, not much research has been done explaining the change of political efficacy in deliberative procedures, and case studies or experiments prevail in the field. …”
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Host metabolites explain microbiome variation between different rice genotypes by Pin Su, Houxiang Kang, Qianze Peng, Weiye Peng, Shu’e Sun, Xiaohua Du, Chi Zhang, Ziling Lei, Lianyang Bai, Qianjun Tang, Yong Liu, Tomislav Cernava, Deyong Zhang

“…Redundancy analyses (RDA) showed that these metabolites can explain 35.6% of the variance in their microbiomes. …”
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Strategies for applying interpretable and explainable AI in real world IoT applications by Anber Abraheem Shlash Mohammad, Suleiman Ibrahim Shelash Mohammad, Badrea Al Oraini, Asokan Vasudevan, Ayman Hindieh, Ali Altarawneh, Muhammad Turki Alshurideh, Imad Ali

Subjects: “…Explainable Artificial Intelligence (XAI)…”
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Mutations of short tandem repeats explain abundant trait heritability in Arabidopsis by Zhi-Qin Zhang, Juan Jiang, Yong-Chao Xu, Craig Dent, Sridevi Sureshkumar, Sureshkumar Balasubramanian, Ya-Long Guo

“…Notably, based on analysis of the expression levels of 24,175 genes and splice site strength values of 12,784 splice sites, as well as 16 phenotypes of natural A. thaliana populations, we determine the similar average heritability of these three trait sets explained by STR variation. Conclusions Our results reveal the evolutionary dynamics of STRs, and highlight the importance of STR variation as an important contributor to missing heritability in regulating complex traits.…”
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Explaining Brexit: The 5 A’s - Anomie, Alienation, Austerity, Authoritarianism and Atavism by Peter Dorey

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Building and explaining data-driven energy demand models for Indian states by Kieran M R Hunt, Hannah C Bloomfield

“…The models demonstrate high skill, with half having $r^2 \gt 0.8$ , significantly outperforming traditional multivariate linear regression models. We explain model behaviour through Shapley analysis and find a strong sensitivity to day of the week and public holidays, with reductions in energy demand on Sundays and varying impacts during holidays. …”
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Bring mutual trust back: explaining underdevelopment among privileged regions by Desy Hariyati

“…The findings reveal a lack of trust between the regional government and citizens, which explains poor participation in policymaking hence sluggish regional development. …”
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Mobile Robot Positioning with Wireless Fidelity Fingerprinting and Explainable Artificial Intelligence by Hüseyin Abacı, Ahmet Çağdaş Seçkin

Subjects: “…explainable artificial intelligence…”
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An explainable analysis of diabetes mellitus using statistical and artificial intelligence techniques by William Hoyos, Kenia Hoyos, Rander Ruiz, Jose Aguilar

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Explainable Artificial Intelligence Models for Predicting Depression Based on Polysomnographic Phenotypes by Doljinsuren Enkhbayar, Jaehoon Ko, Somin Oh, Rumana Ferdushi, Jaesoo Kim, Jaehong Key, Erdenebayar Urtnasan

Subjects: “…explainable artificial intelligence…”
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Explaining the high skill of reservoir computing methods in El Niño prediction by F. Guardamagna, F. Guardamagna, C. Wieners, C. Wieners, H. A. Dijkstra, H. A. Dijkstra

“…In this paper, we aim to explain for one class of such methods, i.e. reservoir computers (RCs), the origin of this high skill. …”
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Optimisation-Based Feature Selection for Regression Neural Networks Towards Explainability by Georgios I. Liapis, Sophia Tsoka, Lazaros G. Papageorgiou

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Examining peptide–gold nanoparticle interactions through explainable machine learning by Malak Gamal Abdelmeguid, Jose Isagani B. Janairo, Nishanth G. Chemmangattuvalappil

“…This work develops an explainable binary machine learning classifier using rough sets as the algorithm and amino acid composition as the features. …”
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GlassBoost: A Lightweight and Explainable Classification Framework for Tabular Datasets by Ehsan Namjoo, Alison N. O’Connor, Jim Buckley, Conor Ryan

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Interpretable Optimization: Why and How We Should Explain Optimization Models by Sara Lumbreras, Pedro Ciller

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Explainable AI-Based Ensemble Clustering for Load Profiling and Demand Response by Elissaios Sarmas, Afroditi Fragkiadaki, Vangelis Marinakis

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Explainable Ensemble Learning Model for Residual Strength Forecasting of Defective Pipelines by Hongbo Liu, Xiangzhao Meng

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Exploring explanation deficits in subclinical mastitis detection with explainable boosting machines by Changhong Jin, John Upton, Brian Mac Namee

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