The Tulungagung Regency Health Office, through its Regency Pharmacy Installation (IFK), is responsible for managing and distributing medicines to community health centers (Puskesmas). Current pharmaceutical logistics management relies on manual processes using Microsoft Excel and multiple separate files, leading to red...
M. Andriyansyah, M. T. Chulkamdi, Sabitul Kirom· Jurnal Teknologi Informatika...· 0 citations
AI coding agents can transform software requirements into implementations rapidly, but faster implementation does not guarantee correct interpretation. Conventional natural-language requirements often leave authority, ambiguity, traceability, and verification evidence implicit, while highly formal approaches may impose...
Gokul Sivasankaran Kartha· Zenodo (CERN European Organi...· 0 citations
Configured scenarios, simulation runs and derived results behind the three case studies reported in the paper, together with the scripts that turn the raw data into the experiment sets. Contents. One archive per case study. toowoomba: the regional corridor, its single-replicate analysis, the 39,000-replicate throughput...
Paul Corry, Robert L. Burdett, Nicholas Dendle et al.· Zenodo (CERN European Organi...· 0 citations
OES32 Membrane Array is a small Python companion to oes32-membrane-shield. It composes the fixed 32-slot OES32 membrane contract into arrays of 32 to 65,536 channel slots, always as a whole number of independent 32-slot cells, without changing the upstream API. One external Ed25519 capability authorizes the whole flatt...
Jean-François Brisson· Zenodo (CERN European Organi...· 0 citations
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Enhancements & fixes Removed fixed nextflow version for test download Fix FASTA file name for test_full profile Upgraded to the nf-core template v4.1.0 Slack / Teams functionality now moved to Nextflow plugins (nf-slack, nf-teams) Add check for BAM/CRAM headers in nf-test Preserve PG lines from original BAM/CRAM files...
Hạnh Hoàng, Sandra Ruth Babirye, Tyler K. Chafin et al.· Zenodo (CERN European Organi...· 0 citations
This artifact accompanies the study “Test Co-Evolution and Coding Agent Adoption”, which investigates the relationships between coding-agent adoption, production–test co-evolution, and post-adoption corrective maintenance in open-source repositories. It includes datasets covering 66 repositories, Python analysis script...
Charles Miranda, Guilherme Amaral Avelino, Pedro de Alcântara dos Santos Neto· Zenodo (CERN European Organi...· 0 citations
Effect-size files, estimation code, artefacts, a self-test and a manifest for the article "Institutional Trust and the Intention to Migrate: A Meta-Analysis of the Trust-Emigration Relationship, with Attention to Youth". It contains: the locked effect-size file of record for the individual-level evidence, seven single-...
Comparative studies of turboshaft fuel controllers commonly report performance advantages without holding the loop bandwidth or anti-windup implementation constant across the compared configurations. This paper asks what survives such a comparison. An integrated FADEC architecture for a GE T700-class turboshaft is deve...
Masoud Norouzi, I. Bayezit, M. Reyhanoglu· Electronics· 0 citations
TraceGap is the agent tracing correctness benchmark: does your agent framework record what actually happened? It drives LLM agent frameworks with scripted models through fault scenarios (tool failures, cancellation, parallel calls, rejected calls, nested agents) and compares each framework's own trace surface (callback...
Pushkar Devanahalli Gopalakrishna· Zenodo (CERN European Organi...· 0 citations
Benchmark data, trained models and code for two flow problems with exact analytic solutions: a two-dimensional Poisson problem (Level I) and planar Poiseuille flow in a straight two-dimensional channel (Level II). The data compare supervised deep neural networks (DNNs), physics-informed neural networks (PINNs) and hybr...
Brenald Dzonzi, Amit Kumar Mishra, Malebogo Ngoepe· Open University of Cape Town...· 0 citations
This release provides trained OCR/HTR models and supporting software for the automated transcription of postwar Japanese student and social movement documents held by Tohoku University Archives. The released components were selected from the configurations evaluated in the associated research and are intended to suppor...
Shumpei Katakura· Zenodo (CERN European Organi...· 0 citations
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.
MIT News · Artificial Intelligence· news.mit.eduOct 2, 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.
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.
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