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On behalf of the organising committee, we are honoured to present the Proceedings of the International Conference on Science Education (ICoSE) 2025. This proceeding documents the valuable contributions made at the ICOSE meeting, where scholars, researchers, practitioners, and students from around the world came together to promote discussions on sustainable energy, systems, and the environment.ICOSE 2025 was held in a hybrid format (on-site + virtual) on August 7, 2025. The in-person component was hosted at Universitas Negeri Malang in Malang, East Java, Indonesia, while virtual participation was enabled through an integrated online conference platform. The hybrid model was thoughtfully designed to combine the advantages of traditional face-to-face interaction with the flexibility and inclusiveness of virtual attendance. The conference was held alongside the meeting of the Indonesian Mathematics and Natural Sciences Association. We chose a hybrid format because it would make the event more accessible to people with limited travel budgets, while still allowing for in-person contact. We wanted to keep the richness of live conversation, networking, and spontaneous exchanges while also making it easier for people from other places and institutions to participate.List of Conference Chair, Secretary, Committee Members and Scientific Committee are available in this PDF.

GTF (Gene Transfer Format) and GFF (General Feature Format) are popular file formats used by bioinformatics programs to represent and exchange information about various genomic features, such as gene and transcript locations and structure. GffRead and GffCompare are open source programs that provide extensive and efficient solutions to manipulate files in a GTF or GFF format. While GffRead can convert, sort, filter, transform, or cluster genomic features, GffCompare can be used to compare and merge different gene annotations. Availability and implementation: GFF utilities are implemented in C++ for Linux and OS X and released as open source under an MIT license  ( https://github.com/gpertea/gffread , https://github.com/gpertea/gffcompare ).

The thirtieth annual International Laser Physics Workshop (LPHYS’22) was held in an exclusively virtual format on Zoom from July 18 to July 22, 2022. This year the Workshop was carried out in an exclusively virtual format on Zoom. The LPHYS’22 Steering and Advisory&Program committees and the LPHYS’22 Management Team have worked hard to make this event possible. We kept the conference virtual Zoom format as closely as possible to the standard in-person format of the previous years, albeit without popular extravagant welcome parties, sumptuous gala dinners, and many other in-person activities and friendly gatherings. However, the cordial atmosphere that had always ruled our annual meetings was kept on. List of the Proceedings Editors, Plenary speakers were world-renowned scientists, The Workshop is being organized by, Sponsors are available in this pdf.

In alignment with the FAIR[1] (Findable, Accessible, Interoperable, and Reusable) data principles, BESSY II is embarking on a transformative journey to enhance scientific research capabilities through the integration of standardized device interfaces for metadata capture and the adoption of NeXus[2] as the common data format. NeXus is a common data format specifically designed for neutron, X-ray, and muon science, making it ideally suited for the diverse experimental techniques employed at BESSY II. A cornerstone of this initiative is the ROCK-IT (Remote, Operando Controlled, Knowledge-driven, and IT-based) project, funded by the Helmholtz Association. This project not only exemplifies the practical application of FAIR principles at BESSY II but also serves as a demonstrator of how advanced IT can significantly enhance control and insights with a focus on the experiments. We present one of the efforts at BESSY II in curating FAIR data. For this, we are leveraging NeXus data format standards at mySpot beamline of BESSY II within the context of the ROCK-IT project. NeXus standards play a dual role of not only defining all data relevant to the beamline and the experiment but also defining the standards in the form of application definitions which helps in exchanging data between applications. We will discuss the progress of our efforts concerning the mySpot beamline, which is a multi-mode beamline designed to perform different techniques - XRD, SAXS, XRF, EXAFS, and XANES - simultaneously at the sample position.

GTF (Gene Transfer Format) and GFF (General Feature Format) are popular file formats used by bioinformatics programs to represent and exchange information about various genomic features, such as gene and transcript locations and structure. GffRead and GffCompare are open source programs that provide extensive and efficient solutions to manipulate files in a GTF or GFF format. While GffRead can convert, sort, filter, transform, or cluster genomic features, GffCompare can be used to compare and merge different gene annotations. Availability and implementation: GFF utilities are implemented in C++ for Linux and OS X and released as open source under an MIT license  ( https://github.com/gpertea/gffread, https://github.com/gpertea/gffcompare).

Studies of the processes underlying question answering in surveys suggest that the choice of (layout for) response categories can have a significant effect on respondent answers. In recent years, the use of pictures, such as emojis or stars, is often used in online communication. It is unclear if pictorial answer categories can replace traditional verbal formats as measurement instruments in surveys. In this article we investigate different versions of a Likert-scale to see if they generate similar results and user experiences. Data comes from the non-probability based Flitspanel in the Netherlands. The hearts and stars designs received lower average scores compared to the other formats. Smileys produced average answer scores in line with traditional radio buttons. Respondents evaluated the smiley design most positively. Grid designs were evaluated more negatively. People wanting to compare survey outcomes should be aware of these effects and only compare results when similar response formats are used.

We extend results on the dynamical low-rank approximation for the treatment of time-dependent matrices and tensors (Koch and Lubich; see [SIAM J. Matrix Anal. Appl., 29 (2007), pp. 434--454], [SIAM J. Matrix Anal. Appl., 31 (2010), pp. 2360--2375]) to the recently proposed hierarchical Tucker (HT) tensor format (Hackbusch and Kuhn; see [J. Fourier Anal. Appl., 15 (2009), pp. 706--722]) and the tensor train (TT) format (Oseledets; see [SIAM J. Sci. Comput., 33 (2011), pp. 2295--2317]), which are closely related to tensor decomposition methods used in quantum physics and chemistry. In this dynamical approximation approach, the time derivative of the tensor to be approximated is projected onto the time-dependent tangent space of the approximation manifold along the solution trajectory. This approach can be used to approximate the solutions to tensor differential equations in the HT or TT format and to compute updates in optimization algorithms within these reduced tensor formats. By deriving and analyzing the tangent space projector for the manifold of HT/TT tensors of fixed rank, we obtain curvature estimates, which allow us to obtain quasi-best approximation properties for the dynamical approximation, showing that the prospects and limitations of the ansatz are similar to those of the dynamical low rank approximation for matrices. Our results are exemplified by numerical experiments. [PUBLICATION ABSTRACT]

Systems biology has experienced dramatic growth in the number, size, and complexity of computational models. To reproduce simulation results and reuse models, researchers must exchange unambiguous model descriptions. We review the latest edition of the Systems Biology Markup Language (SBML), a format designed for this purpose. A community of modelers and software authors developed SBML Level 3 over the past decade. Its modular form consists of a core suited to representing reaction-based models and packages that extend the core with features suited to other model types including constraint-based models, reaction-diffusion models, logical network models, and rule-based models. The format leverages two decades of SBML and a rich software ecosystem that transformed how systems biologists build and interact with models. More recently, the rise of multi-scale models of whole cells and organs, and new data sources such as single-cell measurements and live imaging, has precipitated new ways of integrating data with models. We provide our perspectives on the challenges presented by these developments and how SBML Level provides the foundation needed to support this evolution.

RNTuple is the new columnar data format designed as the successor to ROOT’s TTree format. It allows to make use of modern hardware capabilities and is expected to be used in production by the LHC experiments during the HL-LHC. In this paper, we discuss the usage of Direct I/O to fully exploit modern SSDs, especially in the context of the recent addition of parallel RNTuple writing. We describe the alignment requirements imposed by Direct I/O and approaches to meet them for columnar data formats. Finally, we discuss performance results for both writing and reading, in synthetic benchmarks as well as real-world applications.