Analysis code, module definitions and provenance, processed module-level inputs derived from public GEO datasets, fold assignments, preprocessing parameters, and fold-specific neural-network weights supporting the DL-MRS study. The package contains three ensembles: the primary eight-feature model, the common-gene eight...
Lei Ren, Wenhao Ouyang, Zijia Lai et al.· Zenodo (CERN European Organi...· 0 citations
Analysis code, module definitions and provenance, processed module-level inputs derived from public GEO datasets, fold assignments, preprocessing parameters, and fold-specific neural-network weights supporting the DL-MRS study. The package contains three ensembles: the primary eight-feature model, the common-gene eight...
Lei Ren, Wenhao Ouyang, Zijia Lai et al.· Zenodo (CERN European Organi...· 0 citations
Release produced from an independent scientific and software review of v3.0.21 against the manuscripts the pipeline implements (Koelmel et al. 2022, Brunet et al. NYCSS manuscript + SI, Kwiecien et al. 2015). Finding IDs (S-* scientific, D-* design) refer to that review; every finding is pinned by a test in the new tes...
Christopher Brunet· Zenodo (CERN European Organi...· 0 citations
Laboratory dataset for a locally fabricated flat Coanda-effect screen Fifty-two clear-water runs on a flat Coanda-effect screen intake fabricated from locally available materials, with the measured capture compared against the predictions of the Coanda-effect screen analysis software distributed by the US Bureau of Rec...
Eduardo Carrión Coronel· Zenodo (CERN European Organi...· 0 citations
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Based on the provided documentation, here is a comprehensive summary of the automated interceptor system's architecture, divided into its core subsystems and physical requirements. Core Functional Disciplines An automated short-range or counter-unmanned aerial system (C-UAS) interceptor is split into three foundational...
francis lee· Zenodo (CERN European Organi...· 0 citations
Based on the provided documentation, here is a comprehensive summary of the automated interceptor system's architecture, divided into its core subsystems and physical requirements. Core Functional Disciplines An automated short-range or counter-unmanned aerial system (C-UAS) interceptor is split into three foundational...
francis lee· Zenodo (CERN European Organi...· 0 citations
This record contains the companion data for the paper Enhancing Near-Real-Time Amazon Forest Monitoring Using GeoAI: A Case Study on Selective Logging. It is organised into seven categories: the pretraining corpus for the spatiotemporal masked-autoencoder foundation model; the labelled dataset the downstream model is t...
Evandro Taquary, Guilherme Mataveli, Sérgio Nogueira et al.· Zenodo (CERN European Organi...· 0 citations
With checkCIF the IUCr has created a unique platform for the validation and archiving of the result of a small-molecule crystal structure study. That information, supplied in CIF (crystallographic information file) format, should include not only the numerical results of that study but also much of the supporting exper...
A. L. Spek· Acta Crystallographica Secti...· 0 citations
This SoK examines which lessons from software fuzzing carry over to hardware and where unique approaches are needed and suggests that mainstream adoption of hardware fuzzing will require reusable interfaces, target-specific verification assets, reproducible evaluations, and transparent reporting of cost and user effort...
PURPOSE: This study presents a proof-of-concept automated accessory designed to actuate selected functions of a standard Perkins Brailler. MATERIALS AND METHODS: The prototype uses push-type electromagnetic solenoids to operate the Brailler keys, a gear motor to support carriage return, and a computer-based interface t...
Ibrahim Mahariq, İbrahim Arpacı, Ahmad Alazmi et al.· Disability and Rehabilitatio...· 0 citations
The paper presents a 3D numerical model of plasma in which a fully implicit PIC method with exact conservation of global energy and local charge is generalized to the electromagnetic case. This opens the possibility of simulating plasma equilibria with a high (up to an extreme) ratio of plasma pressure to magnetic fiel...
This work fine-tune a code-centric LLM on transformations produced by Wyvern and embed Alive2 into a feedback loop that enforces semantic preservation for every generated rewrite, demonstrating that generative AI components can be safely integrated into compiler pipelines through deterministic validation and structured...
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.
Requirements in large systems rarely exist in isolation. Their meaning depends on the wider project context - other requirements, policies, decisions, tests, and implementation details. That becomes especially important when AI is used for review, because spotting a possible conflict or gap is only the beginning. ReqSpace explores how AI, visualisation, and connected project context can help reviewers understand those findings, trace the relationships behind them, and focus on the questions that…
AI is making software generation faster, but speed does not remove the need for expertise. As more work is delegated to AI, tacit knowledge may become one of the most important human advantages in software engineering. The post Beyond Prompt Engineering: The Role of Tacit Knowledge in Software Engineering appeared first on GPT-Lab.
