Lower BMI in Tanzanian Adults with 'Schistosoma mansoni' Infection is Not Explained by Differences in Serum Adipocytokine Levels by Khanh Pham, Enock Miyaye, Maureen Ward, Danielle de Jong, Govert J. van Dam, Paul L. A. M. Corstjens, Jennifer A. Downs, Robert N. Peck, Hyasinta Jaka

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An AI explained systematic modular approach for enhanced Electricity Theft Detection for urbanized Smart Grid environment by Muhammad Ammar, Nadeem Javaid, Ali Arishi

“…Finally, to improve both local and global interpretability and explainability of SATBlend’s predictions, explainable artificial intelligence techniques are employed, including local interpretable model-agnostic explanations and Shapley additive explanations. …”
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Association between severe childhood infections and subsequent risk of OCD is largely explained by shared familial factors by David Mataix-Cols, Lorena Fernández de la Cruz, Henrik Larsson, Paul Lichtenstein, Brian M D’Onofrio, Zheng Chang, Ralf Kuja-Halkola, Isabell Brikell, Josep Pol-Fuster, Jan C Beucke, Elles De Schipper

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Are young adults fear appeal effectiveness ratings explained by fear arousal, perceived threat and perceived efficacy? by Ron Lennon, Randall Rentfro

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Tree growth is better explained by absorptive fine root traits than by transport fine root traits by Anvar Sanaei, Fons van der Plas, Hongmei Chen, Sophie Davids, Susanne Eckhardt, Justus Hennecke, Anja Kahl, Yasmin Möller, Ronny Richter, Jana Schütze, Christian Wirth, Alexandra Weigelt

“…Our results also show that, for the selected traits, tree growth is better explained by absorptive root traits than by transport root traits and is higher in species with thinner roots. …”
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Spatial periodicity in grid cell firing is explained by a neural sequence code of 2-D trajectories by Rebecca RG, Giorgio A Ascoli, Nate M Sutton, Holger Dannenberg

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Combined genome-wide association study of facial traits in Europeans increases explained variance and improves prediction by Ziyi Xiong, Yi Li, Xianjing Liu, Haojie Lu, Pirro G. Hysi, Luba M. Pardo, Andre G. Uitterlinden, Fernando Rivadeneira, M. Arfan Ikram, Mohsen Ghanbari, Eppo B. Wolvius, Gennady V. Roshchupkin, Stephen Richmond, Tamar Nijsten, Timothy D. Spector, Sijia Wang, Fan Liu, Manfred Kayser

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Explainable and perturbation-resilient model for cyber-threat detection in industrial control systems Networks by Urslla Uchechi Izuazu, Cosmas Ifeanyi Nwakanma, Dong-Seong Kim, Jae Min Lee

“…This paper introduces the eXplainable Cyber-Threat Detection Framework (XC-TDF), a novel solution designed to overcome these challenges. …”
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An Explainable Framework Integrating Local Biplots and Gaussian Processes for Unemployment Rate Prediction in Colombia by Diego Armando Pérez-Rosero, Diego Alejandro Manrique-Cabezas, Jennifer Carolina Triana-Martinez, Andrés Marino Álvarez-Meza, German Castellanos-Dominguez

Subjects: “…explainability…”
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Microbiome-derived reactivation of mycophenolate explains variations in enterohepatic recirculation in kidney transplant recipients by Ole Martin Drevland, Eric J. de Muinck, Pål Trosvik, Marta Hammerstad, Kine Eide Kvitne, Karsten Midtvedt, Anders Åsberg, Ida Robertsen

“…Conclusions We highlight for the first time that the ex vivo determined reactivation rate of MPA explains the variation of enterohepatic recirculation, emphasizing the important role of F. prausnitzii in this process. …”
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Explainable and Interpretable Model for the Early Detection of Brain Stroke Using Optimized Boosting Algorithms by Yogita Dubey, Yashraj Tarte, Nikhil Talatule, Khushal Damahe, Prachi Palsodkar, Punit Fulzele

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Explainable modeling for wind power forecasting: A Glass-Box model with high accuracy by Wenlong Liao, Jiannong Fang, Birgitte Bak-Jensen, Guangchun Ruan, Zhe Yang, Fernando Porté-Agel

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An explainable analytical approach to heart attack detection using biomarkers and nature-inspired algorithms by Maithri Bairy, Krishnaraj Chadaga, Niranjana Sampathila, R. Vijaya Arjunan, G. Muralidhar Bairy

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Explainable artificial intelligence (XAI) for interpreting predictive models and key variables in flood susceptibility by Bahram Choubin, Abolfazl Jaafari, Jalal Henareh, Omid Karimi, Farzaneh Sajedi Hosseini

“…The black-box nature of machine learning limits its explainability and practical application. This study highlights the importance of enhancing interpretability in flood modeling and prediction by investigating the interactions between flood-related explanatory variables and their contributions to model performance using Explainable Artificial Intelligence (XAI) with the SHapley Additive exPlanations (SHAP) method. …”
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Can Christian Nationalism ExplainAnti-Vaccination Attitudes AgainstCOVID-19 in Greece? by Mareta, Dimitra

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Teleworking Technology Adoption in Organizations: Explaining the Role of Social Influence, Motivation and Facilitating Conditions by Alirezaei Alirezaei, Jabarzadeh Jabarzadeh, erfan Haji Akhoondi, hossein RahmanyYoushanlouei

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Elections as Vehicles for Change? Explaining different outcomes of democratic performance and government alternation in Africa by Edalina Rodrigues Sanches, José Jaime Macuane

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Explainable Machine Learning Models for Colorectal Cancer Prediction Using Clinical Laboratory Data by Rui Li MS, Xiaoyan Hao MS, Yanjun Diao MD, Liu Yang MS, Jiayun Liu MD

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A unified ontological and explainable framework for decoding AI risks from news data by Chuan Chen, Peng Luo, Huilin Zhao, Mengyi Wei, Puzhen Zhang, Zihan Liu, Liqiu Meng

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Correction: Pollination Mode and Mating System Explain Patterns in Genetic Differentiation in Neotropical Plants. by Liliana Ballesteros-Mejia, Natácia E Lima, Matheus S Lima-Ribeiro, Rosane G Collevatti

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