Sequences of 6d SCFTs on generic Riemann surfaces by Shlomo S. Razamat, Evyatar Sabag

“…This entails the introduction of a novel type of maximal puncture. Again, the suggestion is checked by matching anomalies, symmetries and the conformal manifold to expectations from six dimensions. …”
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A Blockchain-Assisted Federated Learning Framework for Secure and Self-Optimizing Digital Twins in Industrial IoT by Innocent Boakye Ababio, Jan Bieniek, Mohamed Rahouti, Thaier Hayajneh, Mohammed Aledhari, Dinesh C. Verma, Abdellah Chehri

“…This paper presents a novel framework combining blockchain technology and federated learning (FL) to address these issues. …”
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Wafer Defect Classification Algorithm With Label Embedding Using Contrastive Learning by Jeongjoon Hwang, Somi Ha, Dohyun Kim

“…However, these approaches often lack interpretability, which can hinder process improvement and problem-solving efforts. …”
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Application of Generative Artificial Intelligence Models for Accurate Prescription Label Identification and Information Retrieval for the Elderly in Northern East of Thailand by Parinya Thetbanthad, Benjaporn Sathanarugsawait, Prasong Praneetpolgrang

“…This study introduces a novel AI-driven approach to support elderly patients in Thailand with medication management, focusing on accurate drug label interpretation. …”
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Modelling the flowing bottom hole pressure of oil and gas wells using multivariate adaptive regression splines by Okorie Ekwe Agwu, Saad Alatefi, Ahmad Alkouh, Raja Rajeswary Suppiah

“…This study showcases a novel model that is explicitly presented, interpretable and physically validated, making the model suitable for integration into software applications. …”
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Validation of a hypomorphic variant in CDK13 as the cause of CHDFIDD with autosomal recessive inheritance through determination of an episignature by Jan Fischer, Mariëlle Alders, Marcel M. A. M. Mannens, David Genevieve, Karl Hackmann, Evelin Schröck, Bekim Sadikovic, Joseph Porrmann

“…This highlights the utility of episignatures in variant interpretation, as well as a potential novel diagnostic approach in unsolved cases or for disease prognosis.…”
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MO-GCN: A multi-omics graph convolutional network for discriminative analysis of schizophrenia by Haiyuan Wang, Runlin Peng, Yuanyuan Huang, Liqin Liang, Wei Wang, Baoyuan Zhu, Chenyang Gao, Minxin Guo, Jing Zhou, Hehua Li, Xiaobo Li, Yuping Ning, Fengchun Wu, Kai Wu

“…The results showed that the novel MO-GCN model using BGCGs outperformed the GCN models using either BGs or GGs. …”
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Vacuum amplitudes and time-like causal unitary in the loop-tree duality by The LTD collaboration, Selomit Ramírez-Uribe, Andrés E. Rentería-Olivo, David F. Rentería-Estrada, Jorge J. Martínez de Lejarza, Prasanna K. Dhani, Leandro Cieri, Roger J. Hernández-Pinto, German F. R. Sborlini, William J. Torres Bobadilla, Germán Rodrigo

“…Abstract We present the first proof-of-concept application to decay processes at higher perturbative orders of loop-tree duality (LTD) causal unitary, a novel methodology that exploits the causal properties of vacuum amplitudes in the LTD and is directly well-defined in the four physical dimensions of the space-time. …”
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Connecting electronic health records to a biomedical knowledge graph to link clinical phenotypes and molecular endotypes in atopic dermatitis by Francesca Frau, Paul Loustalot, Margaux Törnqvist, Nina Temam, Jean Cupe, Martin Montmerle, Franck Augé

“…Our methodology introduced a novel patient representation using graph ML applied to the BKG. …”
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Three Prospective Case Studies Examining Mifepristone’s Efficacy in Patients with Treatment-Resistant PTSD by Agnes van Minnen, Lizelotte Vos, Pierre M. Bet, Ad de Jongh, Felix Linsen, Hein J. F. van Marle, Onno C. Meijer, Willem M. Otte, Marije Russcher, Christiaan H. Vinkers

“…Despite the availability of various treatment approaches for patients with posttraumatic stress disorder (PTSD), some patients do not respond to these therapies, and novel treatment approaches are needed. This study investigated the efficacy of mifepristone, a glucocorticoid receptor antagonist, in treatment-resistant PTSD patients. …”
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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

“…Comprehensive ablation studies, visualization of results, and in-depth case analyses further validate our framework’s efficacy and interpretability, providing a novel tool for drug discovery that integrates multimodal features.…”
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Linking machine learning and biophysical structural features in drug discovery by Armin Ahmadi, Shivangi Gupta, Vineetha Menon, Jerome Baudry

“…By leveraging pharmacophore descriptors, the AI/ML framework prioritized features uniquely associated with ligand-selected conformations, enabling a mechanism-driven understanding of binding interactions. This novel approach integrates biophysical insights with machine learning, focusing on pharmacophoric properties such as charge, hydrogen bonding, hydrophobicity, and aromaticity.ResultsResults showed significant enrichment of true positive ligands—improving database enrichment by up to 54-fold compared to random selection—demonstrating the robustness of this approach across diverse proteins.ConclusionUnlike conventional structure-based or ligand-based screening methods, this work emphasizes the role of specific protein conformations in driving ligand binding, making the process highly interpretable and actionable for drug discovery. …”
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Floquet topological phase transitions in 2D Su–Schrieffer–Heeger model: interplay between time reversal symmetry breaking and dimerization by Adrian Pena, Bogdan Ostahie, Cristian Radu

“…Furthermore, we employ a novel method to show that the four unit cell atoms, in the absence of irradiation, can be interpreted as conserved spin states. …”
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Explainable correlation-based anomaly detection for Industrial Control Systems by Ermiyas Birihanu, Imre Lendák

“…Additionally, they lack interpretability, operating efficiently with limited resources, and root cause identification. …”
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Enhancing Stock Portfolio Selection with Trapezoidal Bipolar Fuzzy VIKOR Technique with Boruta-GA Hybrid Optimization Model: A Multicriteria Decision-Making Approach by Sunil Kumar Sharma

“…The result shows that this novel approach is effective and can help to investors to take decisions in the unpredictable financial market. …”
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Le traducteur et les italiques. Omniscience et redressement dans Madame Bovary by Sophie Sarrazin

“…As an emphatic device, the italics contribute to the sentence structure, just like grandiloquence does, from a rhetorical or a syntactical point of view.The large number of passages in italics in Flaubert’s novel has been discussed for a long time. Flaubert’s italics have been regularly considered as a means of pointing out the social discourse or the famous “received idea”. …”
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Easy, fast and reproducible Stochastic Cellular Automata with chouca by Génin, Alexandre, Dupont, Guillaume, Valencia, Daniel, Zucconi, Mauro, Ávila-Thieme, M. Isidora, Navarrete, Sergio A., Wieters, Evie A.

“…By providing an easy and efficient entry point to SCAs, chouca lowers the bar to the use of this class of models for ecologists, managers and general practitioners, providing a leveled-off reproducible platform while opening novel methodological approaches.…”
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Analysis of Multidimensional Clinical and Physiological Data with Synolitical Graph Neural Networks by Mikhail Krivonosov, Tatiana Nazarenko, Vadim Ushakov, Daniil Vlasenko, Denis Zakharov, Shangbin Chen, Oleg Blyus, Alexey Zaikin

“…This paper introduces a novel approach for classifying multidimensional physiological and clinical data using Synolitic Graph Neural Networks (SGNNs). …”
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Discovering emergent connections in quantum physics research via dynamic word embeddings by Felix Frohnert, Xuemei Gu, Mario Krenn, Evert van Nieuwenburg

“…In this work, we introduce a novel approach based on dynamic word embeddings for concept combination prediction. …”
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Chromosomal genome assembly resolves drug resistance loci in the parasitic nematode Teladorsagia circumcincta. by Jennifer McIntyre, Alison Morrison, Kirsty Maitland, Duncan Berger, Daniel R G Price, Sam Dougan, Dionysis Grigoriadis, Alan Tracey, Nancy Holroyd, Katie Bull, Hannah Rose Vineer, Mike J Glover, Eric R Morgan, Alasdair J Nisbet, Tom N McNeilly, Yvonne Bartley, Neil Sargison, Dave Bartley, Matt Berriman, James A Cotton, Eileen Devaney, Roz Laing, Stephen R Doyle

“…Genome-wide analyses of drug resistance, combining evidence from three distinct experiments, identified selection around known candidate genes for benzimidazole, levamisole and ivermectin resistance, as well as novel regions associated with ivermectin and moxidectin resistance. …”
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