Perturbation-theory machine learning for mood disorders: virtual design of dual inhibitors of NET and SERT proteins by Valeria V. Kleandrova, M. Natália D. S. Cordeiro, Alejandro Speck-Planche

“…Through the application of the fragment-based topological design (FBTD) approach, the molecular descriptors (multi-label graph-based indices) present in the PTML-MLP model were physicochemically and structurally interpreted. …”
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Innovative machine learning approaches for complexity in economic forecasting and SME growth: A comprehensive review by Mustafa I. Al-Karkhi, Grzegorz Rza̧dkowski

“…It provides a structured analysis of diverse methodologies that includes ensemble methods, deep learning models, and interpretability tools to evaluate their effectiveness and limitations in addressing the complexities of economic and SME data. …”
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Seismic Random Noise Attenuation via Low-Rank Tensor Network by Taiyin Zhao, Luoxiao Ouyang, Tian Chen

“…Furthermore, tests on real field datasets demonstrate consistent enhancements in noise suppression while preserving critical stratigraphic structures and fault discontinuities. The embedded LRTA mechanism not only improves network interpretability, but also reduces parameter sensitivity compared to conventional LRA methods. …”
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Improving stroke risk prediction by integrating XGBoost, optimized principal component analysis, and explainable artificial intelligence by Lesia Mochurad, Viktoriia Babii, Yuliia Boliubash, Yulianna Mochurad

“…To improve stroke risk prediction models in terms of efficiency and interpretability, we propose to integrate modern machine learning algorithms and data dimensionality reduction methods, in particular XGBoost and optimized principal component analysis (PCA), which provide data structuring and increase processing speed, especially for large datasets. …”
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Explainable Anomaly Detection Based on Operational Sequences in Industrial Control Systems by Ka-Kyung Kim, Joon-Seok Kim, Ieck-Chae Euom

“…Many anomaly detection algorithms based on deep learning models have good performance but often involve complex neural network structures, creating a black-box issue where users cannot interpret the decisions made by the models. …”
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An Efficient Approach Based on RAE-GAMI-NET for Long Range Attack Detection on Blockchain by Vasavi Chithanuru, Mangayarkarasi Ramaiah

“…In order to protect against long-range attacks, this research suggests a high-performance explainable neural network model that can accurately categorize nodes as malicious or non-malicious while maintaining interpretability. …”
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Project Quality Assessment Based on Fuzzy Nodeling by E. N. Zhivitskaya, T. A. Safronova

“…Methods for decision making as semi-structured goals which based on creation of linguistic model are considered in this article. …”
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Assembly and breakage of head-to-head double hexamer reveals mpox virus E5-catalyzed DNA unwinding initiation by Yingxian Cheng, Pu Han, Qi Peng, Ruili Liu, Hao Liu, Bin Yuan, Yunfei Zhao, Lu Kuai, Jianxun Qi, Kai Miao, Yi Shi, George Fu Gao, Han Wang

“…Notably, E5 forms a head-to-head double hexamer encircling dsDNA, disrupted by the conformational rearrangement of primase domains upon nucleotide incorporation. Five E5-ssDNA-ATP structures further support an ATP cycle-driven non-classical escort model for E5 translocation. …”
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Learning Permutation Symmetry of a Gaussian Vector with gips in R by Adam Chojecki, Paweł Morgen, Bartosz Kołodziejek

“…It is competitive to canonical methods in dimensionality reduction while providing a new interpretation of the results. gips implements a novel Bayesian model selection procedure within Gaussian vectors invariant under the permutation subgroup introduced in Graczyk, Ishi, Kołodziejek, and Massam (2022b, The Annals of Statistics). …”
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School principals’ understanding of managing public-private partnerships related to information and communication technology in under-resourced public secondary schools by Rachael Adebola Olusegun, Maitumeleng Albertina Nthontho

“…These innovative structures offer a replicable model for principals seeking to effectively manage ICT resources in schools. …”
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ANXIETY between mind and society: a corpus-driven cross-cultural study of conceptual metaphors by Henrik Nordmark, Dylan Glynn

“…Multifactorial Usage-Feature Analysis takes the theory and analytical assumptions of this tradition and provides a means for empirically testing proposed conceptual structures as well as interpreting them relative to social-cultural variation. …”
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Data-driven prediction and design of bZIP coiled-coil interactions. by Vladimir Potapov, Jenifer B Kaplan, Amy E Keating

“…In this work, we used a large quantitative set of 4,549 bZIP coiled-coil interactions to develop a predictive model that exploits knowledge of structurally conserved residue-residue interactions in the coiled-coil motif. …”
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Explainable Artificial Intelligence: Advancements and Limitations by Halil Ibrahim Aysel, Xiaohao Cai, Adam Prugel-Bennett

“…Explainable artificial intelligence (XAI) has emerged as a crucial field for understanding and interpreting the decisions of complex machine learning models, particularly deep neural networks. …”
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Visual Question Answering in Robotic Surgery: A Comprehensive Review by Di Ding, Tianliang Yao, Rong Luo, Xusen Sun

“…Current limitations, including dataset scarcity, multimodal alignment challenges, and issues of interpretability, are critically examined. This survey aims to not only provide a structured overview of the field but also identify critical research gaps and propose future directions to enhance VQA systems for robotic surgery, with the ultimate goal of improving intraoperative performance and patient outcomes.…”
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Approche géographique de l’intentionnalité paysagère dans les vallées de l’Ouest de la France by Régis Barraud

“…In order to understand the evolution of these valleys, we propose a model of interpretation of the landscape intentionality from the industrialization period (beginning of 19th century) until the current development of landscape projects.…”
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EP240801a/XRF 240801B: An X-Ray Flash Detected by the Einstein Probe and the Implications of Its Multiband Afterglow by Shuai-Qing Jiang, Dong Xu, Agnes P. C. van Hoof, Wei-Hua Lei, Yuan Liu, Hao Zhou, Yong Chen, Shao-Yu Fu, Jun Yang, Xing Liu, Zi-Pei Zhu, Alexei V. Filippenko, Peter G. Jonker, A. S. Pozanenko, He Gao, Xue-Feng Wu, Bing Zhang, Gavin P Lamb, Massimiliano De Pasquale, Shiho Kobayashi, Franz Erik Bauer, Hui Sun, Giovanna Pugliese, Jie An, Valerio D’Elia, Johan P. U. Fynbo, WeiKang Zheng, Alberto J. Castro-Tirado, Yi-Han Iris Yin, Yuan-Chuan Zou, Adam T. Deller, N. S. Pankov, A. A. Volnova, A. S. Moskvitin, O. I. Spiridonova, D. V. Oparin, V. Rumyantsev, O. A. Burkhonov, Sh. A. Egamberdiyev, V. Kim, M. Krugov, A. M. Tatarnikov, R. Inasaridze, Andrew J. Levan, Daniele Bjørn Malesani, Maria E. Ravasio, Jonathan Quirola-Vásquez, Joyce N. D. van Dalen, Javi Sánchez-Sierras, Daniel Mata Sánchez, Stuart P. Littlefair, Jennifer A. Chacón, Manuel A. P. Torres, Ashley A. Chrimes, Nikhil Sarin, Antonio Martin-Carrillo, Vik Dhillon, Yi Yang, Thomas G. Brink, Rebecca L. Davies, Sheng Yang, Amar Aryan, Ting-Wan Chen, Albert K. H. Kong, Wen-Xiong Li, Rui-Zhi Li, Jirong Mao, Ignacio Pérez-García, Emilio J. Fernández-García, Moira Andrews, Joseph Farah, Zhou Fan, Estefania Padilla Gonzalez, D. Andrew Howell, Dieter Hartmann, Jing-Wei Hu, Páll Jakobsson, Cheng-Kui Li, Zhi-Xing Ling, Curtis McCully, Megan Newsome, Benjamin Schneider, Kaew Samaporn Tinyanont, Ning-Chen Sun, Giacomo Terreran, Qing-Wen Tang, Wen-Xin Wang, Jing-Jing Xu, Wei-Min Yuan, Bin-Bin Zhang, Hai-Sheng Zhao, Juan Zhang

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Deep learning system for the auxiliary diagnosis of thyroid eye disease: evaluation of ocular inflammation, eyelid retraction, and eye movement disorder by Yu Han, Jun Xie, Xiaoyu Li, Xinying Xu, Bin Sun, Han Liu, Chunfang Yan

“…The designed quantitative algorithm provides greater interpretability than existing studies, thereby validating the effectiveness of the diagnostic system.ConclusionThe deep learning-based auxiliary diagnostic model for TED established in this study exhibits high accuracy and interpretability in the diagnosis of ocular inflammation related to CAS, eyelid retraction, and eye movement disorders. …”
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Syntactic-Guided Chain of Thought for Iterative Implicit and Explicit Target Detection in Aspect-Based Sentiment Analysis by Mohammad Radi, Nazlia Omar, Wandeep Kaur

“…Prompt engineering is essential for optimizing the performance of large-language models (LLMs), particularly in tasks requiring complex interpretations such as aspect-based sentiment analysis (ABSA). …”
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Opportunities and practices supporting responsive health care for forced migrants: lessons from transnational practice and a mixed-methods systematic review by Amy Robinson, Protus Musotsi, Ziaur Rahman A Khan, Laura Nellums, Bayan Faiq, Kofi Broadhurst, Gisela Renolds, Michael Pritchard, Andrew Smith

“…Background For those displaced across borders, significant adversity before, during and after displacement journeys, including attitudes and structures in countries of transit and arrival, contributes to considerable risk of poor physical and mental health, and poor and exclusionary experiences of health care. …”
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Battlefield memories: the legacy of Bilbao’s Iron Belt (Spanish Civil War) through digital humanities by Tania González-Cantera, Xavier Rubio-Campillo

“…To address these challenges, the study employs an innovative digital humanities framework to document, analyse, and interpret four sections of the Iron Belt in which archaeological structures remain preserved. …”
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