Shiina, Hironobu

1 files · 3.2 MB · pdfdeclared

本論は6世紀から7世紀半ばにかけての『日本書紀』の記録構造を再検討し、 修正した年代に対して中国および朝鮮半島の史書と比較・検証を行い、分析したものになります。 (「『日本書紀』に見る4世紀末から5世紀後期の外交記録の一考察」DOI: 10.5281/zenodo.17474831の続編になります) Author's Note: 本論は著作権保持(All Rights Reserved.)での公開になります。 商業・非商業を問わず、事前許可のない転載・再配布・翻訳・要約等を一切禁止いたします。 *基本的には最新版をダウンロードしてください 連絡先: Website: https://tsurezureblog.sakuraweb.com/contact E-mail: h.shiina.contact@gmail.com (注)本論も前論文と同様に長文であるため、現時点では英語版の作成は予定しておりません。 バージョン1は DOI 付与のために一時的に公開後、すぐに非公開設定にしたものであり、内容はバージョン2と同一です。 誤字修正 2026/1/4 第三部の修正 2026/1/6 第二部の修正 2026/1/9 第二部の修正 2026/1/13 誤字修正と第三部の加筆 2026/1/24 第四部の修正 2026/1/30 第二部の修正 2026/2/5 第二部の修正と誤字修正 2026/2/5 第二部と第四部の加筆・修正 2026/2/19 第二部の加筆修正 2026/3/2 第二部の加筆修正 2026/3/3 第四部と第五部の加筆修正と誤字修正 2026/3/31 *大幅な加筆を行っています。 第五部の加筆修正と誤字修正 2026/4/1 全体の文言の調整及び第四部の加筆修正と誤字修正 2026/4/2 文章の整形及び追記部分並びに本文最後を加筆-2026/5/18 誤字の訂正及び第一部の加筆-2026/5/26 字句の訂正及び第一部の修正-2026/5/27 字句の訂正及び文章の整形及び第一部の修正並びに追記部分の修正-2026/5/28 第一部と第二部を加筆修正-2026/5/31 文体の調整及び第四部を加筆修正-2026/6/7 語句の調整、第一部、第二部及び第四部を加筆修正-2026/6/26 第二部を加筆-2026/6/28 第二部を加筆修正-2026/6/29 第二部を加筆修正-2026/6/30 字句の訂正及び第二部の修正並びに追記部分の修正-2026/7/2 第二部を加筆修正-2026/7/3 第二部、第四部、追記部分の加筆修正-2026/7/4 第二部、追記部分の加筆修正並びに英語の副題の世紀についての表記の修正-2026/7/4 This paper reexamines the structural characteristics of the Nihon Shoki records from the sixth to the mid-seventh centuries. Based on revised chronological interpretations, it conducts a comparative examination and analysis with Chinese and Korean historical sources. (This paper is a sequel to "A Study of Diplomatic Records from the Late Fourth to the Late Fifth Century as Seen in the Nihon Shoki ," DOI: 10.5281/zenodo.17474831.) Author's Note: This work is published with full copyright retained (All Rights Reserved). Any reproduction, redistribution, translation, or summarization-whether for commercial or non-commercial purposes-without prior permission is strictly prohibited. Notice: In principle, please always check for and download the latest version of this record. Contact Information: Website: https://tsurezureblog.sakuraweb.com/contact E-mail: h.shiina.contact@gmail.com Note: As with the previous paper, this work is extensive in length; therefore, an English version is not planned at this time. The content is identical to Version 2, which serves as the publicly available version. Correction of typos and omissions. -2026/1/4 Part 3 revised. - 2026/1/6 Part 2 revised. - 2026/1/9 Part 2 and Part3 revised. - 2026/1/13 Corrected typos and added part 3. 2026/1/24 Part4 revised. - 2026/1/30 Part2 revised. - 2026/2/5 Correction of typos and omissions and Paart2 revised. - 2026/2/6 Part 2 and Part4 revised. - 2026/2/19 Part 2 revised. - 2026/3/2 Part 2 revised. - 2026/3/3 Part 4 and Part 5 revised. - 2026/3/31 *`Includes significant additions. Part5 revised. - 2026/4/1 Text formatting and add text to the end of the main text. - 2026/4/2 Text formatting , Corrected typos and add text revised. - 2026/5/18 Corrected typos and added part 1. 2026/5/26 Corrected typos and part 1 revised. 2026/5/27 Text formatting , Corrected typos , part 1 revised and add text revised. - 2026/5/28 Part 1 and Part 2 revised. - 2026/5/31 Text formatting and part 4 revised. - 2026/6/7 Adjusted wording; revised and expanded Parts 1, 2, and 4. - 2026/6/26 Part 2 revised. - 2026/6/28 Part 2 revised. - 2026/6/29 Part 2 revised. - 2026/6/30 Corrected typos , part 2 revised and add text revised. - 2026/7/2 Part 2 revised. - 2026/7/3 Part 2, part 4 and revised and add text revised. - 2026/7/4 Part 2 and add text revised.AND updated the century format in the English subtitle from "the Sixth and Seventh" to "the 6th and 7th". - 2026/7/10

Shiina, Hironobu

1 files · 3.5 MB · pdfdeclared

本論は『日本書紀』の記録構造を春秋二倍暦という視点から再検討し、 修正した年代に対して中国および朝鮮半島の史書と比較・検証を行い、分析したものになります。 *基本的には最新版をダウンロードしてください Author's Note: 本論は著作権保持(All Rights Reserved.)での公開になります。 商業・非商業を問わず、事前許可のない転載・再配布・翻訳・要約等を一切禁止いたします。 連絡先: Website: https://tsurezureblog.sakuraweb.com/contact E-mail: h.shiina.contact@gmail.com (注)本論は長文であるため、現時点では英語版の作成は予定しておりません。 今後、本論の要約または簡略化した内容をもとに英語版を作成する可能性があります。 バージョン1は DOI 付与のために一時的に公開後、すぐに非公開設定にしたものであり、内容はバージョン2と同一です。 「日本書記」となっている箇所が多数あったため『日本書紀」に修正しました、誤字なのでバージョン2も非公開にします-2025年10月 誤字・脱字の修正-2025年11月1日 第四部で3箇所を追記と誤字脱字の修正-2025年11月2日 第三部で一箇所追記、誤字脱字の修正-2025年11月4日 第二部で1箇所追記-2025年11月7日 第二部で2箇所追記-2025年11月8日 第三部で2箇所修正等-2025年11月9日 第二部と第三部で各1箇所修正-2025年11月22日 第四部で3箇所修正、文言の調整-2026年1月6日 第四部を加筆修正-2026年1月8日 文の整形と第四部を加筆修正-2026年1月15日 文の整形・誤字脱字の修正と第四部を加筆修正-2026年1月24日 第四部を加筆修正-2026年1月26日 第三部と第四部を加筆修正-2026年2月19日 第二部を加筆修正-2026年3月6日 第一部を加筆修正-2026年3月9日 第二部及び第四部を加筆修正-2026年3月25日 第四部を加筆修正-2026年4月6日 第四部を加筆修正-2026年4月9日 第一部から第四部を加筆修正-2026年4月10日 第三部と第四部を加筆修正-2026年4月13日 第四部の文言の調整および加筆修正-2026年4月14日 誤字の修正と第二部の文言の調整および加筆修正-2026年4月25日 文章の整形及び第一部、第二部、第三部の加筆修正-2026年5月15日 文章の整形及び第四部の加筆修正-2026年6月5日 第二部及び第四部の加筆修正-2026年6月5日 前文の注意及び第四部の加筆修正-2026年6月27日 第三部と第四部の加筆修正-2026年7月4日 第三部と第四部の修正-2026年7月10日 This paper reexamines the chronological structure of the Nihon Shoki from the perspective of the Spring-Autumn Double-Year calendar system. It analyzes and compares the reconstructed chronology with historical records from China and the Korean Peninsula. Author's Note: This work is published under All Rights Reserved. Any reproduction, redistribution, translation, or summary without prior permission-whether for commercial or non-commercial purposes-is strictly prohibited. Notice: In principle, please always check for and download the latest version of this record. Contact: Website: https://tsurezureblog.sakuraweb.com/contact E-mail: h.shiina.contact@gmail.com Note: Because this paper is long, an English version is not planned at this time. However, a simplified or summarized English version may be prepared in the future. *Version 1 was temporarily published and immediately set to private solely for DOI registration purposes. The content is identical to Version 2, which serves as the publicly available version. *Several instances of "日本書記" were corrected to "日本書紀." As these were only typographical errors, Version 2 will remain private.- October 2025 Correction of typos and omissions. -2025/11/1 Three additions were made in Part 4, and correction of typos and omissions. -November 2, 2025 Added one section to Part 3 and corrected typos and grammatical errors - November 4, 2025 Added one section to Part 2 and corrected typos and grammatical errors - November 7, 2025 Added two section to Part 2 and corrected typos and grammatical errors - November 8, 2025 Added two section to Part 3 and corrected typos and grammatical errors - November 9, 2025 One correction each in Part 2 and Part 3 - November 22, 2025 Adjustments to expressions - January 6, 2026 Part 4 revised and updated - January 8, 2026 Part 4 revised and updated - January 15, 2026 Part 4 revised and updated - January 24, 2026 Part 4 updated - January 26, 2026 Part 3 and 4 revised and updated - February 19, 2026 Part 2 revised and updated - March 6, 2026 Part 1 revised and updated - March 9, 2026 Part 2&4 revised and updated - March 25, 2026 Part 4 revised and updated - April 6, 2026 Part 4 revised and updated - April 9, 2026 Part 1, 2, 3 and 4 revised and updated. - April 10, 2026 Part 3 and 4 revised and updated. - April 13, 2026 Part 4 revised and updated. - April 14, 2026 Part 2 revised and updated. - April 25, 2026 Text formatting and revisions to parts 1, 2, and 3. - May 15, 2026 Text formatting and revisions to parts 4. - May 15, 2026 Part 2 and 4 revised and updated. - June 25, 2026 Revised the preamble and Part 4.- June 27, 2026 Part 3 and 4 revised and updated. - July 4, 2026 Part 3 and 4 revised and updated. - July 10, 2026

Contreras-Torres, Flavio F.

1 files · 461 KB · zipdeclared

v0.3.2 (2026-07-09) HARMONSMILE is a cheminformatics toolkit for preparing and harmonizing molecular structure tables across PubChem, ChEMBL, and independent SMILES datasets. It provides deterministic table loading, robust identifier handling, RDKit-based SMILES canonicalization, and an auditable harmonization layer for downstream curation, comparison, and machine learning workflows. HARMONSMILE preserves source SMILES, emits a canonical/isomeric/Kekulé RDKit representation for compatibility and deduplication, and produces a harmonized canonical/isomeric/aromatic SMILES representation using controlled RDKit-native standardization policies.

Passalacqua, Evan

1 files · 413 KB · zipdeclared

SceneSim is a turn-based EMT (Emergency Medical Technician) simulation platform. A deterministic engine owns all patient truth (vitals, timing, deterioration, scoring); an LLM is used only to render that state as natural-language roleplay, never to decide clinical outcomes.

Diehl, Martin · Eisenlohr, Philip · Roongta, Sharan · et al.

2 files · 56 MB · xz, zipdeclared

DAMASK® is a unified multi-physics crystal plasticity simulation package. The solution of continuum mechanical boundary value problems requires a constitutive response that connects deformation and stress at each material point. This problem is solved in DAMASK on the basis of crystal plasticity using a variety of constitutive models and homogenization approaches. However, treating mechanics in isolation is no longer sufficient to study emergent advanced high-strength materials. In these materials, deformation happens interrelated with displacive phase transformation, significant heating, and potential damage evolution. Therefore, DAMASK is capable of handling multi-physics problems. Following a modular approach, additional field equations are solved in a fully coupled way using a staggered approach.

Smith, C. Haden · Fields, Woodrow L. · Gonzalez, Julian · et al.

1 files · 2.2 MB · zipdeclared

Numerics is a free and open-source .NET library providing numerical methods, probability distributions, statistical analysis, and Bayesian inference tools for quantitative risk assessment in water resources engineering.

Fobbe, Sean

5 files · 155 MB · pdf, zipdeclared

Überblick Dieses Skript wertet das amtliche Internetangebot Gesetze im Internet der Bundesrepublik Deutschland vollständig aus und ist die Grundlage des Corpus des Deutschen Bundesrechts (C-DBR) . Alle mit diesem Skript erstellten Datensätze werden dauerhaft kostenlos und urheberrechtsfrei auf Zenodo, dem wissenschaftlichen Archiv des CERN, veröffentlicht. Alle Versionen sind mit einem separaten und langzeit-stabilen (persistenten) Digital Object Identifier (DOI) versehen. Die neueste Version des Datensatzes ist zusätzlich immer über den Link der Concept DOI erreichbar: https://doi.org/10.5281/zenodo.3832111 Lesen Sie bitte zuerst den Compilation Report! Dieser enthält den Source Code für die gesamte Pipeline, relevante Rechenergebnisse, alle Diagramme, Zeitstempel, sowie ein detailliertes und klickbares Inhaltsverzeichnis. Sie werden sich auf diese Weise viel schneller im eigentlichen Source Code zurechtfinden. Aktualisierung Dieser Datensatz wird ca. alle 3 Monate aktualisiert. Benachrichtigungen über neue und aktualisierte Datensätze veröffentliche ich immer zeitnah auf Mastodon unter @seanfobbe@fediscience.org NEU in Version 2026-07-09 Vollständige Aktualisierung der Daten Ausführung der Pipeline in Userland im Container Neues Skript für Zenodo Upload Funktionsweise Primäre Endprodukte des Skripts sind folgende ZIP-Archive: Der volle Datensatz im CSV-Format, unterteilt in Einzelnormen (nur Rechtsakte mit veröffentlichtem Normtext) Die Metadaten aller Einzelnormen im CSV-Format (wie 1, aber ohne Text-Variable) Der volle Datensatz im CSV-Format, unterteilt in Rechtsakte (nur Rechtsakte mit veröffentlichtem Normtext) Die Metadaten aller Rechtsakte im CSV-Format (wie 3, aber ohne Text-Variable) Die Metadaten aller veröffentlichten Rechtsakte, im CSV-Format (unabhängig davon ob Normtext veröffentlicht wurde) Der volle Datensatz im XML-Format, unterteilt in Rechtsakte (Originaldaten von GII) Alle Anlagen zu den XML-Dateien im jeweiligen Original-Format (Originaldaten von GII) Alle Rechtsakte im TXT-Format, unterteilt in Rechtsakte (deutlich reduzierter Umfang an Metadaten) Alle Rechtstexte im PDF-Format, unterteilt in Rechtsakte (deutlich reduzierter Umfang an Metadaten) Alle Rechtstexte im EPUB-Format, unterteilt in Gesetze (deutlich reduzierter Umfang an Metadaten) Alle Analyse-Ergebnisse (Tabellen als CSV, Grafiken als PDF und PNG) Netzwerk-Strukturen (Adjazenzmatrizen, Edgelists, GraphML, und Netzwerk-Diagramme) für alle Rechtsakte (experimentell!) Alle Ergebnisse werden im Ordner `output` abgelegt. Zusätzlich werden für alle ZIP-Archive kryptographische Signaturen (SHA2-256 und SHA3-512) berechnet und in einer CSV-Datei hinterlegt. Systemanforderungen Docker Docker Compose 6 GB Speicherplatz auf Festplatte Multi-core CPU empfohlen (8 cores/16 threads für die Referenzdatensätze). In der Standard-Einstellung wird das Skript vollautomatisch die maximale Anzahl an Rechenkernen/Threads auf dem System zu nutzen. Die Anzahl der verwendeten Kerne kann in der Konfigurationsatei angepasst werden. Wenn die Anzahl Threads auf 1 gesetzt wird, ist die Parallelisierung deaktiviert. Anleitung Schritt 1: Ordner vorbereiten Kopieren Sie bitte den gesamten Source Code in einen leeren Ordner (!), beispielsweise mit: $ git clone https://codeberg.org/seanfobbe/c-dbr Verwenden Sie immer einen separaten und leeren (!) Ordner für die Kompilierung. Die Skripte löschen innerhalb von bestimmten Unterordnern (files/, temp/, analysis/ und output/) alle Dateien die den Datensatz verunreinigen könnten --- aber auch nur dort. Schritt 2: Docker Image erstellen Ein Docker Image stellt ein komplettes Betriebssystem mit der gesamten verwendeten Software automatisch zusammen. Nutzen Sie zur Erstellung des Images einfach: $ bash docker-compose build --pull Schritt 3: Datensatz kompilieren Falls Sie zuvor den Datensatz schon einmal kompiliert haben (ob erfolgreich oder erfolglos), können Sie mit folgendem Befehl alle Arbeitsdaten im Ordner löschen: $ git clean -fdx Den vollständigen Datensatz kompilieren Sie mit folgendem Skript: $ bash docker-run-project.sh Ergebnis Der Datensatz und alle weiteren Ergebnisse sind nun im Ordner output/ abgelegt. Pipeline visualisieren Sie können die Pipeline visualisieren, aber nur nachdem sie die zentrale .Rmd-Datei mindestens einmal gerendert haben: > targets::tar_glimpse() # Nur Datenobjekte > targets::tar_visnetwork() # Alle Objekte Troubleshooting Hilfreiche Befehle, um Fehler zu lokalisieren und zu beheben. > tar_progress() # Zeigt Fortschritt und Fehler an > tar_meta() # Alle Metadaten > tar_meta(fields = "warnings", complete_only = TRUE) # Warnungen > tar_meta(fields = "error", complete_only = TRUE) # Fehlermeldungen > tar_meta(fields = "seconds") # Laufzeit der Targets Weitere Open Access Veröffentlichungen (Fobbe) Website - www.seanfobbe.de Open Data - https://zenodo.org/communities/sean-fobbe-data/ Source Code - https://zenodo.org/communities/sean-fobbe-code/ Volltexte regulärer Publikationen - https://zenodo.org/communities/sean-fobbe-publications/ Urheberrecht Der Source Code und alle von mir bereitgestellten Rohdaten stehen unter der GNU General Public License v3.0 oder später. Kontakt Fehler gefunden? Anregungen? Kommentieren Sie gerne im Issue Tracker oder kontaktieren Sie mich über www.seanfobbe.de

Pierre Aubert · Thibaut Oprinsen

1 files · 4.9 MB · zipdeclared

This project aims to provide a simple a powerfull lecture compilation to generate html web sites

Bravo, Santiago

1 files · 13 MB · zipdeclared

Open-source deforestation and degradation monitoring system for the Chapada do Araripe protected area (APA) in Brazil. Builds monthly per-pixel baselines from Sentinel-2, Landsat, and Harmonized Landsat Sentinel-2 imagery, then detects anomalies in vegetation moisture (NDMI), burn (NBR), and greenness (EVI2) indices via z-score thresholds with drought-adjusted sensitivity. Designed to be replicable in other regions. Source code licensed under AGPL-3.0-or-later. Data products (baselines, alerts, time series) licensed under CC-BY-SA-4.0; see DATA_LICENSE.

Duarte Rocha, Alby · Aljoumani, Basem

1 files · 36 MB · zipdeclared

rSTEMMUS_SCOPE is an open-source R package that provides a reproducible interface for configuring, executing, and post-processing simulations with the STEMMUS-SCOPE model. The package simplifies complex model workflows by automating input preparation, parameter configuration, model execution, result extraction, and visualization while preserving the original MATLAB implementation of STEMMUS-SCOPE. It supports reproducible ecohydrological modelling, facilitates software interoperability, and provides a structured workflow for research, teaching, and model development. Version 1.0 accompanies the SoftwareX publication describing the package architecture, workflow, and reproducible modelling framework. Release notes (Version 1.0) Complete R interface for STEMMUS-SCOPE Automated preprocessing workflow Enhanced parameter configuration Improved post-processing and visualization Reproducible Steglitz example Updated documentation Official software release accompanying the manuscript describing rSTEMMUS_SCOPE. Data availability: The SoilProperty dataset is distributed separately from the software and is downloaded automatically by the package from its archived Zenodo record. The dataset is unchanged for this release and has therefore not been duplicated. It can also be downloaded manually from: https://zenodo.org/api/records/15488066/files/SoilProperty.zip/content

Microsoft AI for Good Lab · Microsoft Pytorch-Wildlife project

63 files · 12 GB · zipdeclared

v0.19.0: fix the orca-cascade mobile descriptor to reference orca-detector-v3-fp16-tflite (was the superseded orca-detector-fp16-tflite id, which the cascade could not load); no other model changed. v0.18.0: TensorRT compatibility metadata. Added [inference.trt] mode to all 55 desktop ONNX manifests: mode=on_demand for TRT-compatible models (served on CUDA by default; a TensorRT engine is built only on explicit warm-up, never auto-built); mode=off for models with an in-graph spectral/DFT front-end (perch-v2, orca-ecotype-dclde2026-v1) and OWL (open-vocabulary transformer). ONNX weights are bit-identical to v0.17.0 - manifest-only metadata update. v0.17.0: add general/encoder dinov3-vitl16 (DINOv3 ViT-L/16, 1024-d image embedding, DINOv3 License); correct MDV5a manifest id (Species_Net_MDV5a -> MDV5a). v0.16.0: add BioCLIP 2 image encoder (imageomics/bioclip-2, OpenCLIP ViT-L/14, 768-d image embedding, MIT) — first general/encoder entry in the zoo. v0.15.0 — ONB-3: 4 AddaxAI TF/Keras classifiers (tropicam-ai ConvNeXt-Base/84, terai-nepal EffNetV2-M/10, tasmanian-vertebrates EffNetV2-S/96, peruvian-amazon-sdzwa EffNet/43); tf2onnx from .h5/.keras, onboard_parity GATE PASS. v0.14.0: added 2 Apache-2.0 RT-DETRv2 MegaDetector detectors (MDV6-apa-rtdetr-c [ResNet-18vd, 3 decoder layers] + MDV6-apa-rtdetr-e [ResNet-101vd, 6 decoder layers]); NMS-free rtdetr_topk contract, onboard_parity GATE PASS (c 0.974 / e 0.968). v0.13.0 : added MegaDetector MIT variants MDV6-mit-yolov9-c and MDV6-mit-yolov9-e (exported from the MIT-licensed WongKinYiu/YOLO framework, PyTorch-Lightning checkpoints), parity-gated in sparrow-engine. v0.11.0: added the 18 AddaxAI PyTorch camera-trap classifiers (ONB-1: EfficientNetV2 / ResNet50 / YOLOv8-cls / DINOv2 / SpeciesNet-FX, incl. the nz-species multi-label classifier). v0.12.0 : added 9 MegaDetector detector variants (MDV5b; MD1000 redwood/spruce/larch/cedar/sorrel; MDV6 yolov9-c/e; MDV6 rtdetr-c) and re-published MDV5a + MDV6-yolov10-c/e with cv2 (INTER_LINEAR) non-antialiased bilinear preprocessing for detector fidelity. All parity-gated in sparrow-engine. v0.11.0: added the 18 AddaxAI PyTorch camera-trap classifiers (ONB-1: EfficientNetV2 / ResNet50 / YOLOv8-cls / DINOv2 / SpeciesNet-FX, incl. the nz-species multi-label classifier). v0.11.0: added the 18 AddaxAI PyTorch camera-trap classifiers (ONB-1: EfficientNetV2 / ResNet50 / YOLOv8-cls / DINOv2 / SpeciesNet-FX, incl. the nz-species multi-label classifier). ONNX (and mobile TFLite/LiteRT) models for the sparrow-engine inference library. 24 models . v0.10.0 restructures the bundle. Per-model ZIPs are named <domain>__<task>__<id>.zip (Zenodo has no real folders; the __ delimiter groups files by domain then task when sorted). Taxonomy: Camera Trap / Acoustics / Overhead × Detector / Classifier. Latest-version-only for dev iterations (superseded orca detector v1/v2 dropped); the MegaDetector family is kept whole (MDV5a, MDV6-yolov10-c/e). Each ZIP unpacks to <id>/ with manifest.toml, the model graph, labels, MODEL_CARD.md and LICENSE.md. Multi-license — see each model's LICENSE.md.

Szoszkiewicz, Łukasz

1 files · 1.1 MB · zipdeclared

Complete harvest of the OHCHR Search Library "Voting" collection — roll-call and summary voting records of the UN Commission on Human Rights (1946–2006) and the Human Rights Council (2006–present) — parsed from customised MARC21 cataloguing into dashboard-ready CSVs, with a self-contained, zero-build interactive dashboard. Coverage: 6,346 resolutions / 80,159 individual country votes (1946–2026); record count matches the collection total exactly, verified by three independent harvest methods.

Agis-Torres, Ángel · Fernandes, Vítor Samuel · Navarro-Dorado, Jorge · et al.

1 files · 281 KB · zipdeclared

emgteach is an open-source Python package that provides a unified PySide6 desktop application for real-time acquisition, offline analysis and maximum voluntary contraction (MVC) normalisation of surface electromyography (sEMG) signals. It is designed for hands-on biopotential acquisition in undergraduate physiology teaching laboratories, and is meant to be set up by instructors with different levels of technical background and used directly by students during a practical session. The application is hardware-agnostic through a common AcquisitionDevice interface and ships with two interchangeable low-cost backends: BITalino (revolution) over Bluetooth, and an Arduino RedBoard Plus + MyoWare 2.0 over USB serial (open firmware included). A single setting switches between them. Main features: Three-tab GUI (Acquisition, Analysis, MVC normalisation) wrapping a reusable, Qt-free analytic core. Bilingual interface (English / Spanish) with automatic start-up language detection and an in-app language switch. Two-channel acquisition (e.g. agonist/antagonist) with a stacked two-channel live view. Automatic contraction-onset detection (baseline + k·SD threshold) stored as EDF+ annotations. Muscle-load analysis (Jonsson APDF): static (P10), median (P50) and peak (P90) %MVC levels, both offline and as a live monitor with warning/danger zones. One-click PDF session and MVC/muscle-load reports. Reliable EDF+ output using a buffered-write pattern that avoids a silent file-corruption artefact during continuous streaming. Reproducible synthetic signals for class assignments and hardware-free continuous integration. Assisted selection of significant fragments, with an editable fragment editor (detection parameters and envelope-filter cut-offs) applied to the analysis. Region-of-interest analysis, CSV export of results, and a live signal-quality check during recording. An ECG signal profile alongside EMG, selectable through a profile registry. emgteach runs on Windows, macOS and Linux with Python 3.10–3.12, is covered by a suite of 216 automated tests, and is released under the GPL-3.0-or-later license. Source code, documentation and issue tracker: https://github.com/aagisto-maker/emgteach

Romero-Luis, Juan · Magalhães, Joana · Vilaseca, Heloise · et al.

1 files · 4.2 MB · pdfdeclared

This industrial research report examines the feasibility of citizen participation in co-creating narratives for science communication audiovisual products, focusing specifically on Extended Reality (XR) technologies-including Virtual, Augmented, and Mixed Reality. Based on a pilot study utilizing Science For Change's (SFC) co-creation methodology, two distinct methodological approaches were evaluated: an optimization phase for predefined use cases and an exploratory phase aimed at identifying new opportunities. The findings suggest that the effectiveness of narratives in immersive environments depends not only on technical viability, but also on building trust and the user's perceived utility. The study concludes that while the first approach-focused on predefined cases-is effective for validating existing products and mitigating adoption barriers, the second, exploratory approach is indispensable for uncovering unmet social needs. Finally, the report outlines six strategic recommendations for implementing participatory design processes, emphasizing the need to work with homogeneous population samples and multidisciplinary teams to ensure the seamless transfer of citizen insights into the final audiovisual script.

Ichsan, Mochammad Hannats Hanafi

3 files · 187 MB · zipdeclared

This record archives source-code snapshots and implementation materials for the IntuNav and EdgeNav navigation methods in desktop multi-browser virtual environments. The archive contains three GitHub repository snapshots: (1) Multi-Browser-dekstopVR-1, which provides the Unity-based desktop multi-browser virtual environment; (2) IntuNav, which contains the implementation of the IntuNav navigation algorithm; and (3) EdgeNav, which contains the implementation of the EdgeNav navigation algorithm. The archived files are provided to support transparency, reproducibility, and DOI-based citation of the custom software and algorithmic components reported in the associated manuscript.

Schwarz, Friedrich

1 files · 267 KB · zipdeclared

A Python wrapper for the GWDG SAIA (Scalable AI Accelerator) platform REST API, providing object-oriented and functional access to chat completions, voice transcription/translation, document conversion, ARCANA (RAG / knowledge bases), and an OpenAI SDK compatibility layer.

Belder, Rico · Brunner, Sebastian Georg · Steinmetz, Franz

1 files · 47 MB · zipdeclared

RAFCON uses hierarchical state machines, featuring concurrent state execution, to represent robot programs. It ships with a graphical user interface supporting the creation of state machines and contains IDE like debugging mechanisms. Alternatively, state machines can programmatically be generated using RAFCON's API.

von der Heyde, Leah

1 files · 39 KB · pdfdeclared

In this presentation, use cases for LLMs in survey research are introduced. The presentation also covers LLM- and design-induced errors and quality assessment and best practices. Presentation available after free registration: https://elearning.gesis.org/course/view.php?id=205#module-7461

Kalantidou, Eleni

1 files · 1.1 MB · pdfdeclared

Design psychology has been present for decades through practitioners 'humanizing' design and comforting users. As impromptu-practiced, it has been enabling the current economic paradigm and its consequent side-effects including environmental degradation and social exclusion. By contrast, Intentional Design Psychology has been conceptualized to purposefully bring critical transdisciplinary voices together, generating collective designs able to support and be supported by adaptive and resilient psychologies. In this paper, Intentional Design Psychology's concepts and loose ideological framework are discussed as provocations for rethinking aspects of Transition Design's framework. To expand chosen Transition Design's Mindsets and Postures , Tools and Practices , the paper presents an in-depth exploration of shaping and shifting behaviors through the practices of Di/de with Care (detaching, destroying, disassembling and discomforting) and Community-led Behavioral Change . The aspiration is to enrich Transition Design's framework and its mission toward regenerative futures whilst inviting theorists, practitioners and researchers to play with Intentional Design Psychology's ideas.