Graph2Mat: universal graph to matrix conversion for electron density prediction by Pol Febrer, Peter Bjørn Jørgensen, Miguel Pruneda, Alberto García, Pablo Ordejón, Arghya Bhowmik

“…We introduce Graph2Mat, a universal function for converting molecular graphs into equivariant matrices. …”
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Rapid parameter estimation for merging massive black hole binaries using continuous normalizing flows by Bo Liang, Minghui Du, He Wang, Yuxiang Xu, Chang Liu, Xiaotong Wei, Peng Xu, Li-e Qiang, Ziren Luo

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Multisport-Integrated Training for Rugby Instructors: Success and Effects on Minirugby Players by Marta Rigon, Gabriele Signorini, Raffaele Scurati, Athos Trecroci, Dario Colella, Damiano Formenti, Giampiero Merati, Domenico Cherubini, Pietro Luigi Invernizzi

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Uncertainty quantification with Bayesian higher order ReLU-KANs by J Giroux, C Fanelli

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Effectiveness of Different Models of Physical Activity in Improving the Physiological Characteristics of Girls Studying at University by Volodymyr Banakh, Gennadii Iedynak, Oksana Blavt

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Proposing a linguistic repertoires perspective in multilingual higher education contexts by Melike Bulut Albaba

“…Drawing on Cummins (2007), I explore how linguistic repertoires function as cognitive tools, aiding comprehension and critical thinking. …”
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Scalable and accurate simulation of electrolyte solutions with quantum chemical accuracy by Junji Zhang, Joshua Pagotto, Tim Gould, Timothy T Duignan

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Participatory Leadership of The Principal in Improving Teacher Competence by Isthifa Kemal, Firmanda Arlita, Salim Aktar

“…Professional competence, the teacher understands the main tasks and functions. The teacher implements various strategies and ways of managing classes, and plans and utilizes various available learning resources. …”
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Node-Centric Pruning: A Novel Graph Reduction Approach by Hossein Shokouhinejad, Roozbeh Razavi-Far, Griffin Higgins, Ali A. Ghorbani

“…By carefully evaluating node significance based on advanced connectivity metrics, our method preserves the topology and ensures high performance in downstream machine learning tasks. Extensive experimentation demonstrates that our proposed method not only maintains the integrity and functionality of the original graph but also significantly improves the computational efficiency and preserves the classification performance of GNNs. …”
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Psycholinguistic: Child Language Acquisition at The Phonological Level by Bertaria Sohnata Hutauruk, Runi Fazalani, Darul Ilmi, Deisye Supit, Ahmad Ilham Asmaryadi

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Designing precise dynamical steady states in disordered networks by Marc Berneman, Daniel Hexner

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The Role Played by Folklore in Raising up an African Child by Nontokozo Gladys Mdhluli

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Incorporating edge convolution and correlative self-attention into graph neural network for material properties prediction by Zexi Yang, Qi Yu, Yapeng Zhan, Jiying Liu

“…Traditional methods based on either trial-and-error experiments or large-scale density functional theory calculations are known to possess various limitations. …”
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Spatiotemporal forecasting of the edge localized modes in tokamak plasmas using neural networks by Anirban Samaddar, Qian Gong, Sandeep Madireddy, Christopher Hansen, Semin Joung, David R Smith, Yixuan Sun, Fatima Ebrahimi, Prasanna Balapraksh, Andrew Oakleigh Nelson

“…Recent research has demonstrated the power of neural networks in approximating continuous functions. In this work, we build spatiotemporal forecasting models that can predict the onset of ELMs and their evolution at early stages. …”
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Triple Down on Robustness: Understanding the Impact of Adversarial Triplet Compositions on Adversarial Robustness by Sander Joos, Tim Van hamme, Willem Verheyen, Davy Preuveneers, Wouter Joosen

“…Adversarial training, a widely used technique for fortifying the robustness of machine learning models, has seen its effectiveness further bolstered by modifying loss functions or incorporating additional terms into the training objective. …”
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Comparing AI versus optimization workflows for simulation-based inference of spatial-stochastic systems by Michael Alexander Ramirez Sierra, Thomas R Sokolowski

“…Parameterizing such complex models therefore necessitates methods that elaborate on classical Bayesian inference by incorporating notions of optimality and goal-orientation through low-dimensional objective functions that quantitatively encapsulate target system behavior. …”
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Knowledge, distributed leadership and (structured) agency: a view on academic policy curation by Françoise McKay

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To lead or not to lead: The fluctuation of peer leadership in collaborative oral argumentation by Qian Wu, Pengpeng Feng, Mingyue Michelle Gu

“…Working with peers in small groups is conducive to learning, and collaborative learning has been widely adopted in second language classrooms. …”
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Routes and revisits by Alexandra Mitsiali

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Closed-Loop Clustering-Based Global Bandwidth Prediction in Real-Time Video Streaming by Sepideh Afshar, Reza Razavi, Mohammad Moshirpour

“…Unlike local models, GFMs apply the same function to all traces enabling cross-learning, and leveraging relationships among traces to address the performance issues seen in current SBP algorithms. …”
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