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1.10.0 (2026-10-06) ✨ Features filaments, instance and panoptic segmentations, annotation tools (#49) (427f127) 🐞 Bug Fixes keep pick ids, scores and orientations on save (#47) (9ada249)

Analysis code accompanying the main paper and online supplement of “Reference Observability and Journal Universe Choice in Open Reconstructions of Recursive Journal Metrics”. The package s…

Analysis code accompanying the main paper and online supplement of “Reference Observability and Journal Universe Choice in Open Reconstructions of Recursive Journal Metrics”. The package starts from precomputed Network Factor (NF) and Article Network Score (ANS) inputs released by Opindx.org. It provides downstream statistical analysis, table and figure code, an independently generated fictional demonstration, full open Leiden/CWTS-universe scores, additional open Norwegian-universe nodes, and input and provenance documentation. No proprietary Clarivate data, commercial journal roster or crosswalk, empirical benchmark outputs, or manuscript files are included. Empirical reproduction requires legitimately held benchmark inputs and the author-specific inputs described in docs/INPUTS.md. Fictional demonstration outputs do not reproduce the paper results.

MEAM-OWL v1.0.0 Release This is the initial release of MEAM-OWL (Motif Enrichment Analysis Modules On the Web (Lite)) MEAM-OWL is a lightweight and browser-based exploratory tool designed to analyze D…

MEAM-OWL v1.0.0 Release This is the initial release of MEAM-OWL (Motif Enrichment Analysis Modules On the Web (Lite)) MEAM-OWL is a lightweight and browser-based exploratory tool designed to analyze DNA motif enrichment (k-mers) and their associations with gene expression data. Key Features Two Analysis Modes: Mode A: Target vs. Background sequence enrichment analysis (HOMER-like hypergeometric test or Mann-Whitney U test). Mode B: Expression-based rank or correlation analysis (DRIMust model or Pearson correlation) paired with transcriptomic data. Sequence Extraction Engine: Directly loads genome FASTA and GFF3 annotation files to extract regions of interest such as gene (exon + intron) regions, mRNA (exon) regions and promoters. Integrated Plant & Universal Motif Databases: Cross-reference discovered k-mers with known motifs from JASPAR, PLACE, and CIS-BP. Zero Installation: Built with pure client-side JavaScript. No servers, no command-line tools, and no coding required. Quick Start Download the attached assets (meam-owl-v1.0.0.zip). Extract the package on your local computer. Open index.html in any modern desktop browser (e.g., Chrome, Firefox, Safari, Edge). Load your sequence / expression data and start exploring! For detailed instructions on parameters, file input formats, and algorithm citations, please refer to the README.md included in the package.

In a market economy, secured parties or secured creditors occupy a central role in ensuring credit safety and fostering capital circulation. However, the effective protection of their rights during ci…

In a market economy, secured parties or secured creditors occupy a central role in ensuring credit safety and fostering capital circulation. However, the effective protection of their rights during civil judgment enforcement for business and commercial judgments in Vietnam remains subject to numerous limitations, particularly given the rapid digital transformation underway in judicial activities. This article analyzes the theoretical foundations of protecting secured parties' rights in civil judgment enforcement, examines existing legal provisions under the 2025 Law on Civil Judgment Enforcement, and identifies inadequacies related to priority of payment, collateral disposal, digital enforcement, and the handling of digital assets, while drawing on relevant international practices. On this basis, the paper offers recommendations to refine the legal framework and develop a digital enforcement model aligned with judicial reform and national digital transformation requirements.

The growing energy demand of global information technologies motivates the development of sustainable materials capable of retaining and processing information at the atomic scale. Resolving the site-…

The growing energy demand of global information technologies motivates the development of sustainable materials capable of retaining and processing information at the atomic scale. Resolving the site- and orbital-specific origins of magnetic anisotropy energy (MAE) is key to establishing the physical principles required for the rational design of tailored atomic-scale magnets. However, these contributions remain obscured in the output of noncollinear density functional theory calculations incorporating spin–orbit coupling. We present the Palacký OptoElectronic Toolkit (POET), an open-access suite that decomposes complex simulation data into intuitive graphical representations that map electronic reorganization onto atomic and orbital contributions and elucidates the interplay between bonding and magnetic anisotropy. To demonstrate its utility, we investigate two complementary strategies for achieving electric-field tunable MAE in transition-metal-functionalized graphene on various substrates. We show that iodination of Pt adatoms on nitrogen-decorated single-vacancy graphene on MgO creates strong, field-tunable in-plane anisotropy, while OsPt and OsPd heterodimers yield exceptional perpendicular MAE of ∼150 meV. The microscopic insights enabled by POET facilitate the rational control of magnetic anisotropy through chemical engineering, paving the way for energy-efficient information storage and processing at the atomic limit.

Pandemic preparedness requires pathogen resources and services to be discoverable and comparable across heterogeneous provider catalogues. The European Viral Outbreak Response Alliance Ontology (EVORA…

Pandemic preparedness requires pathogen resources and services to be discoverable and comparable across heterogeneous provider catalogues. The European Viral Outbreak Response Alliance Ontology (EVORAO) provides an open semantic model for describing shareable pathogen materials, derived products and associated services. EVORAO uses the Data Catalog Vocabulary (DCAT) as a structural backbone, implements selected constraints aligned with the DCAT Application Profile (DCAT-AP), and defines pathogen-resource concepts, properties and relationships covering identification, biological material origin, availability, request routes, biosafety, transport, licensing, provenance and contacts. Scientific experts curated the terms, definitions and structure used to generate EVORAO and the implementation artefacts that facilitate its adoption. Automated validation includes ontology reasoning, constraint validation and competency-query testing. EVORAO 1.2.0 declares 79 classes and 209 properties; its namespace contains 72 classes, 64 object properties and 129 data properties. EVORAO is released under Creative Commons Zero (CC0) 1.0 Universal. Its implementation in the EVORA Portal illustrates how EVORAO supports unified catalogue search and comparison of pathogen resources and services across providers, thereby supporting pandemic preparedness.

Thai SDG-labelled Text Corpus (v1.2) The Thai SDG-labelled Text Corpus is a publicly available dataset for Sustainable Development Goal (SDG) text classification in Thai. The corpus contains 6,800 rec…

Thai SDG-labelled Text Corpus (v1.2) The Thai SDG-labelled Text Corpus is a publicly available dataset for Sustainable Development Goal (SDG) text classification in Thai. The corpus contains 6,800 records evenly balanced across all 17 SDGs (400 records per goal). It was derived from the OSDG Community Dataset (OSDG-CD), Version 2024.04 (Zenodo DOI: 10.5281/zenodo.11441197), translated into Thai using machine translation, with additional expert review of records flagged by automatic quality-control checks, and augmented with expert-reviewed synthetic data for SDG 17 (Partnerships for the Goals), which is not included in the original OSDG-CD. The dataset is intended to support Thai-language and multilingual natural language processing (NLP) research, including SDG classification, cross-lingual learning, information retrieval, and policy document analysis. Version 1.1 update Version 1.1 : Updated the dataset documentation and metadata to correct the author surname and update the source OSDG-CD citation to Version 2024.04 (DOI: 10.5281/zenodo.11441197). Corrected the description of expert_agreement_score and the reporting of inter-annotator agreement. The field represents raw percent (observed) agreement and is not Cohen's kappa. A separately computed, chance-corrected Cohen's kappa is now reported alongside the original percent-agreement figures (pooled κ = 0.751; Expert_Verified_Pass κ = 0.847; Expert_Reviewed_Acceptable κ = 0.590; Expert_Flagged_Minor_Nuance κ = 0.537). Added Raw_Rater.xlsx, containing the raw Pass/Fail ratings from both human experts for 1,360 records × 20 rubric items, with the rubric provided bilingually in Thai and English. Added thai_sdg_cohens_kappa_en.xlsx, containing the complete Cohen's kappa calculations supporting the reported results, including row-level, verdict-subgroup, and per-criterion analyses. The underlying corpus files (thai_sdg_corpus_v1_0.csv and .xlsx) are unchanged. Version 1.1 consists of documentation and metadata corrections and the addition of supporting rater and kappa calculation files. Version 1.2 update Version 1.2: Updated the dataset documentation, metadata, and supporting materials to align with the revised manuscript and reviewer-requested reproducibility materials. The release adds Raw_RaterA.csv and Raw_RaterB.csv as separate raw rating files and retains the supporting files introduced in Version 1.1, including Raw_Rater.xlsx and thai_sdg_cohens_kappa_en.xlsx. It also includes the complete 20-item expert quality-assessment checklist and the prompt templates used for English-to-Thai translation, SDG 17 generation, and Thai-to-English back-translation. The SDG 1–16 translation and targeted expert-review workflow, SDG 17 provenance and distributional caveats, and the internal nature of the LaBSE threshold calibration are documented. The underlying corpus files (thai_sdg_corpus_v1_0.csv and .xlsx) remain unchanged. Version 1.2 consists of documentation, metadata, and supporting-file updates. Dataset Construction Records for SDG 1–16 were translated from English into Thai using machine translation, with additional expert review of records flagged by automatic quality-control checks, while SDG 17 records were newly generated and reviewed by experts. Each record includes automatic quality-control indicators based on LaBSE semantic similarity and length-ratio checks. A stratified sample of 1,360 records (80 per SDG) additionally includes human-expert quality assessments and inter-annotator agreement scores. Dataset Contents The dataset is distributed in CSV and XLSX formats and contains 18 documented metadata fields, including: Source provenance SDG labels Translation metadata Semantic similarity scores Quality-control indicators Expert-review outcomes Potential Applications Thai-language SDG text classification Multilingual NLP benchmarking Research funding and policy document analysis Cross-lingual transfer learning Sustainable development analytics Source Dataset and Attribution This derivative dataset was created from the OSDG Community Dataset (OSDG-CD), Version 2024.04. The source dataset should be cited as: OSDG, UNDP IICPSD SDG AI Lab, & PPMI. (2024). OSDG Community Dataset (OSDG-CD) (Version 2024.04) [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.11441197 License This derivative dataset is released under the CC BY 4.0 license. The original OSDG Community Dataset is also distributed under CC BY 4.0, and appropriate attribution has been retained in accordance with the license terms.

Abstract: The increasing use of online shopping and social media has contributed to a rise in impulsive buying behaviour among teenagers, with peer influence playing a significant role in shaping pur…

Abstract: The increasing use of online shopping and social media has contributed to a rise in impulsive buying behaviour among teenagers, with peer influence playing a significant role in shaping purchasing decisions. This study examined the relationship between peer influence and impulsive buying behaviour among Maldivian teenagers and determined whether peer influence significantly predicts impulsive buying behaviour. A quantitative cross-sectional research design was employed, and data were collected from 255 teenagers using a structured questionnaire. Data were analysed using descriptive statistics, Pearson's correlation, and simple linear regression. The findings revealed a significant moderate positive relationship between peer influence and impulsive buying behaviour (r = 0.523, p < 0.001). Regression analysis showed that peer influence significantly predicted impulsive buying behaviour (β = 0.523, p < 0.001), explaining 27.4% of the variance (R² = 0.274). These results indicate that teenagers who experience greater peer influence are more likely to make spontaneous and unplanned purchasing decisions. The findings support the Stimulus–Organism–Response (S-O-R) Theory and contribute to the limited literature on adolescent consumer behaviour in the Maldives. The study highlights the importance of promoting financial literacy and awareness of peer influence to encourage responsible purchasing behaviour among teenagers.

Introduction: Addressing complex global challenges such as climate change, extreme weather, sea‑level rise, and ecosystem degradation requires capabilities that go beyond traditional monitoring and mo…

Introduction: Addressing complex global challenges such as climate change, extreme weather, sea‑level rise, and ecosystem degradation requires capabilities that go beyond traditional monitoring and modelling ap-proaches. The Destination Earth initiative was launched by the European Commission (DG‑CNECT) in 2022 to respond to this need, in line with Europe’s green and digital transition strategies. Destination Earth initiative: overview and imple-mentation strategy: Destination Earth (DestinE) is a flagship initiative of the European Commission (DG‑CNECT) that aims to develop, within an opera-tional framework, high‑fidelity Digital Twins of the Earth to support climate resilience, disaster risk reduc-tion, and sustainable development. By integrating ad-vanced Earth system models, edge and high‑perfor-mance computing infrastructure (including EuroHPC resources), artificial intelligence, innovative digital technologies, and large volumes of observational data, DestinE enables access to unprecedented datasets gen-erated from high‑resolution, interactive simulations of the planet (the Digital Twins). Building on these data and on the operational framework developed by the ini-tiative, users can generate actionable information ad-dressing Europe’s environmental challenges. DestinE follows a federated European implementa-tion model and is implemented by three entrusted enti-ties: ESA, ECMWF, and EUMETSAT. ECMWF leads the operation of the core modelling and simulation ca-pabilities, the Digital Twin Engine, supported by Euro-HPC resources and enabling the generation of high‑res-olution global predictions for climate adaptation and ex-treme weather (the Digital Twin’s or DTs data). EUMETSAT leads the operations of the DestinE Data Lake, providing seamless access to the data generated by ECMWF, as well as to a wide range of external data sources, for all DestinE users. ESA leads the operations of the user access point to the DestinE system, the DestinE Platform1. The DestinE Platform represents a flexible ecosystem of services that allows users to discover and exploit DTs data and to de-velop services on top of them. It is designed to host thousands of users from diverse backgrounds, operate on a European sovereign cloud solution, enable cli-mate‑critical services through easy access to DTs and ancillary data, support new scalable operational uses, and stimulate industrial innovation and collaboration across Europe. Currently, dozens of services are availa-ble to DestinE users, ranging from core data access and exploitation tools to sector‑specific applications. The close collaboration and complementarity be-tween the three entrusted entities have ensured a smooth transition of the DestinE system into operations, open to all users since October 2024. With funding secured until 2028, the initiative is expected to mature further, ensur-ing operational continuity of the ecosystem and its inte-grated services. DestinE aims to democratise access to DTs data for European stakeholders, facilitate access to advanced computing infrastructure (EuroHPC, AI fac-tories, quantum computing, and distributed cloud re-sources), and support European industry in developing economically sustainable services that deliver actiona-ble information to a wide range of end users. ESA’s Digital Twin Earth programme: a companion to DestinE initiative: The ESA Digital Twin Earth (ESA DTE) programme represents ESA’s formal con-tribution to DestinE. ESA DTE acts as the interface be-tween the Earth observation (EO) community, DestinE DTs data, and the DestinE Platform. One of its primary objectives is to enable access to and exploitation of ESA EO data within the DestinE environment, as EO data are a core pillar for building a comprehensive and repre-sentative Digital Twin of the Earth. Copernicus Sentinel missions, ESA Earth Explorers, and other contributing missions together provide sustained and comprehensive observations of the atmosphere, oceans, land surfaces, cryosphere, and biosphere. In addition, ESA DTE complements the DestinE op-erational framework by supporting the development of EO‑driven Digital Twin components, some of which may evolve into operational services contributing to the DestinE ecosystem. Conclusion: role in Europe and long-term vision: DestinE and ESA DTE are laying the foundation for a new European capability: a persistent, operational, dy-namic, and trusted digital representation of the Earth system serving policy, science, and society. Within this framework, ESA ensures that the strong synergies and coordination between both initiatives are maintained, while supporting its ESA Strategy 2040 objectives of protecting our planet and climate, and boosting Euro-pean growth and competitiveness. 1 https://platform.destine.eu/