RAVEN is a MATLAB teacher–student framework for fast kernel-free spectroscopic bacterial identification. This release includes: frozen RAVEN v1.0.0 MATLAB software modular source code and generated core documentation and illustrated user manual synthetic five-class software-test example compact representative synthetic...
Mohammad Javad Jafari, Pardis Jayervand, Daniel Aili et al.· Zenodo (CERN European Organi...· 0 citations
This record documents a pre-results, pre-freeze public study protocol and reproducibility harness for an empirical study of tool-using large-language-model agents under prompt-injection exposure and externally narrowed authority. The artifact specifies the threat model, authority narrowing and evidence-gated restoratio...
Burak Oktenli· Zenodo (CERN European Organi...· 0 citations
Supporting materials for the manuscript “From test purposes to verdicts: source analysis and a controlled case in MQTT test software.” The four byte-preserved resources contain a source-witness guide; selected historical fields and 15 fixed synthetic logic scenarios; a 17-purpose public MQTT test-source inventory with...
Yue Ren· Zenodo (CERN European Organi...· 0 citations
This dataset contains experimental data supporting a study on the effects of hot-air drying temperature and duration on the antioxidant activity and UPLC-HRMS metabolite profile of Rhizophora mucronata herbal matcha-like powder. 1. The drying experiment used a completely randomized 3 × 3 factorial design: - Drying temp...
Yunita Eka Puspitasari, Tia Nova Rahma Dhani, Anies Chamidah et al.· Mendeley Data· 0 citations
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Hand-drawn and static media are the foundation of traditional animation and multimedia learning methods, which are restricted to students' capacity for cohesive visual storytelling and iterative experimentation. A virtual simulation storyboard system created utilizing the Design Science Research (DSR) technique with th...
Nesamalar Damalingam, Ajmera MohanSingh, Md Nagib Padil· International journal of mul...· 0 citations
Source code of Abyssal Claims, an independently developed, non-commercial web platform that integrates more than fifty publicly funded and open-licensed geospatial datasets onto a single interactive three-dimensional globe, making the environmental and governance context of deep-sea mineral extraction and terrestrial i...
Michal Mazurowski· Zenodo (CERN European Organi...· 0 citations
This software and data package supports deterministic recomputation of response parsing and panel admission in a finite multimodal heritage panel, using frozen experimental responses. The package contains 9,600 follow-on raw-response records under aliases M1-M4; a 43,200-row derived evaluation table; the evaluator cont...
Bingbing Liang· Zenodo (CERN European Organi...· 0 citations
Anonymous replication package This package reproduces the manuscript’s six main figures, two appendix figures, the appendix bootstrap table, model tables, allocation-rule checks, country-clustered inference, and concentration-index analysis. It contains no manuscript files, author names, institutional paths, Git histor...
Anonymous· Zenodo (CERN European Organi...· 0 citations
Regression testing of head and neck, thorax, and male pelvis sites showed consistent performance after the software upgrade and the DLS models for abdominal site were commissioned in this study for clinical use; while the DLS models for breast site were not recommended.
R. Barati, J. Duan, Song Gao et al.· Journal of Applied Clinical...· 0 citations
GPU acceleration is now routine across robotics, but cloud-hosted GPU continuous integration (CI) runners are expensive, resulting in severe under-testing of GPU-accelerated code. We present pytest-gpu-proof, an open-source pytest plugin offering a practical middle ground. Tests can be run on a local machine, signed wi...
The results suggest that increasing \textit{smell density} was generally associated with lower test-suite-based functional correctness, although non-smelly requirements could still produce faulty code, and motivates further investigation into task-dependent quality effects in LLM-assisted software engineering.
Hugo Villamizar, Jannik Fischbach, Mert Şahin et al.· 0 citations
This work asks whether an implemented cross-lingual retrieval-augmented generation prototype can accept Somali symptom narratives, retrieve English medical-textbook evidence, and return a structured Somali response with explicit safety boundaries and page-level citations.
Hamza Abdiaziz Mohamed, Dalmar Abdullahi Mohamud, Zahra Abdullahi Mohamed et al.· Discover Artificial Intellig...· 0 citations
“X-Hinges” helps design and 3D print items like lamps and gloves with an interactive twist: automatically embedded sensors that perceive and adaptively respond to human contact.
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 6, 2026
Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.
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