DTI-MHAPR: optimized drug-target interaction prediction via PCA-enhanced features and heterogeneous graph attention networks by Guang Yang, Yinbo Liu, Sijian Wen, Wenxi Chen, Xiaolei Zhu, Yongmei Wang

“…Our method outperforms six baseline models in terms of accuracy, as demonstrated by extensive experimentation. …”
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Artificial intelligence-driven rational design of ionizable lipids for mRNA delivery by Wei Wang, Kepan Chen, Ting Jiang, Yiyang Wu, Zheng Wu, Hang Ying, Hang Yu, Jing Lu, Jinzhong Lin, Defang Ouyang

“…Notably, all six lipids from the second iteration equaled or outperformed MC3, with one exhibiting efficacy akin to a superior control lipid SM-102. Furthermore, the AI model is interpretable in structure-activity relationships.…”
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Reflexive Methods of Knowledge in Educational Activities: Phenomenological Hermeneutics by T. N. Korneenko

“…The methods of system-based and comparative analysis, as well as the methods of interpretation, synthesis and modelling were used in the course of the research.Results and scientific novelty. …”
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Anthropology of Religion as a Bridge between East and West: A Cultural Anthropological Distinction between Intercultural Communication and Worldviews by Pieter BOERSEMA

“… At the beginning of cultural anthropology in the 19th century it was mainly a Western affair to describe non-Western cultures, and religion was an important phenomenon. In the Structural Functionalism of the mid-20th century (Malinowski, Radcliffe Brown), religion was part of society and could be described in an agnostic way. …”
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Current application of artificial intelligence in laparoscopic cholecystectomy by S.M. Chooklin, S.S. Chuklin

“…Most current research focus on the identification of workflow and anatomical structure, while the identification of instruments and surgical actions is still awaiting further breakthroughs. …”
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Assessment of RESipy module in delineation of kaolin formation deposits using electrical resistivity tomography by Daniel Eshimiakhe, Raimi Jimoh, Joseph Orojah Osumeje, Kolawole Muideen Lawal

“…Abstract In order to identify potential zones for clay mineral (kaolinite) in Kankara, Northwest Nigeria, 2D ERT survey lines were deployed across potential site and collated to form a 3D ERT model. Although field surveys using this method is relatively straight forward, it requires the application of inverse methods prior to any interpretation. …”
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The Puzzle of the New Type of Intermediate in the Course of [2 + 2] Cycloaddition with the Participation of Conjugated Nitroalkenes: MEDT Computational Study by Radomir Jasiński, Agnieszka Kącka-Zych

“…A BET analysis of intermediate (<b>I</b>) allows it to be classified as a compound with a <i>pseudoradical</i> structure. Next to zwitterions and biradicals, it is evidently new type of intermediate on the path of the [2 + 2] cycloaddition reaction.…”
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Binder Influence on Polyantimonic Acid-Based Membranes’ Electrical Behavior for Low-Temperature Fuel Cells by Sofia Mendes, Pedro Faia

“…Electrical Impedance spectroscopy, EIS, was used to assess the electrical response and respective time stability of the membranes; it also allowed the development of an equivalent model circuit to better interpret the samples’ electrical behavior and respective contributions. …”
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Fatigue-Aware Sub-Second Combinatorial Auctions for Dynamic Cycle Allocation in Human–Robot Collaborative Assembly by Claudio Urrea

“…Unlike prior auction-based or reinforcement learning approaches, our model uniquely integrates a sub-second ergonomic adaptation with a mathematically interpretable utility structure, ensuring both human-centered responsiveness and system-level transparency.…”
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Explainable correlation-based anomaly detection for Industrial Control Systems by Ermiyas Birihanu, Imre Lendák

“…However, the complicated structure of ICS creates complex temporal correlations among devices with many parameters. …”
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A Multi-Stage Feature Selection and Explainable Machine Learning Framework for Forecasting Transportation CO₂ Emissions by Mohammad Ali Sahraei, Keren Li, Qingyao Qiao

“…For this reason, we proposed a multi-stage method that incorporates explainable Machine Learning (ML) and Feature Selection (FS), guaranteeing interpretability in comparison to conventional black-box models. …”
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Multivariate Analyses with Two-Step Dimension Reduction for an Association Study Between ¹¹C-Pittsburgh Compound B and Magnetic Resonance Imaging in Alzheimer’s Disease... by Atsushi Kawaguchi, Fumio Yamashita

“…To study the relationship between Aβ deposition and brain structure, as determined using ¹¹C-Pittsburgh compound B (PiB) and magnetic resonance imaging (MRI), respectively, we developed a regression model with PiB and MRI data as the predictor and response variables, respectively, and proposed a regression method for studying the association between them based on a supervised sparse multivariate analysis with dimension reduction based on a composite paired basis function. …”
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Application of machine learning techniques to predict the compressive strength of steel fiber reinforced concrete by Ala’a R. Al-Shamasneh, Arsalan Mahmoodzadeh, Faten Khalid Karim, Taoufik Saidani, Abdulaziz Alghamdi, Jasim Alnahas, Mohammed Sulaiman

“…By leveraging the predictive power and interpretability of advanced machine learning models, this research promotes a paradigm shift in structural engineering workflows.…”
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President and parliament: Influence on the stability of the state by Laimonas Talat-Kelpša

“…In this article Talat-Kelpša attempts to depict a motley picture concerning the impact that the interinstitutional relations of the president and the parliament derive in the process of establishing a politically stable state and applies an attractive structural development of this clarified problem. …”
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Estimation of Rice Leaf Nitrogen Content Using UAV-Based Spectral–Texture Fusion Indices (STFIs) and Two-Stage Feature Selection by Xiaopeng Zhang, Yating Hu, Xiaofeng Li, Ping Wang, Sike Guo, Lu Wang, Cuiyu Zhang, Xue Ge

“…However, challenges such as spectral saturation and canopy structural variations across different growth stages complicate this task. …”
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M. McLuhan’s Media Theory and Contemporary Book Science Discourse: Points of Confluence by V. A. Mutyev, D. A. Elyashevich

“…The practical significance of the research lies in the formation of a pedagogical book science strategy focused on the study of «pre-established» reading models in various communication channels, taking into account the varying degree of influence of micro- and macro-environment factors that determine the polyphony of modern media practices, the structure of educational trajectories, as well as their effectiveness.…”
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Cosmic inflation in the context of κ-deformed theories by B.W. Ribeiro, I.M. Macêdo, F.C. Carvalho

“…We show that this kind of potential can arise in the context of brane cosmology, where the field describing the size of the extra-dimension, so-called radion, is interpreted as the inflaton. Within the slow-roll approximation, we obtain the main predictions of the model and compare them with current data from cosmic microwave background and large-scale structure observations. …”
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Exploring high-performance viscosity index improver polymers via high-throughput molecular dynamics and explainable AI by Rui Zhou, Luyao Bao, Weifeng Bu, Feng Zhou

“…Starting from high-dimensional physical features, we conducted an unbiased systematic analysis of the quantitative structure-property relationships for polymers VII, providing an explicit mathematical model with promising application in VII industry. …”
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Phase Diagram of Extensive-Rank Symmetric Matrix Denoising beyond Rotational Invariance by Jean Barbier, Francesco Camilli, Justin Ko, Koki Okajima

“…Its statistical analysis when the matrix to infer has a factorized structure with a rank growing proportionally to its dimension remains a challenge, except when it is rotationally invariant. …”
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A strategic decision-making framework for evaluating barriers to green supply chain management using fractional fuzzy similarity measures by Salma Khan, Muhammad I. Syam, Hamza Ali Abujabal, Muhammad Rahim, Alhanouf Alburaikan, Hamiden Abd El-Wahed Khalifa

“…While there has been notable progress in developing similarity measures for various types of generalized fuzzy sets, including fractional fuzzy sets, there is still a lack of well-developed measures suited to the structure of $$\:p,q,r-$$ fractional fuzzy sets. This limitation reduces the effectiveness of fuzzy models in complex decision-making tasks where uncertainty needs to be handled more carefully and flexibly. …”
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