Reducing the environmental impact of food systems is a major sustainability challenge. Key intervention strategies include technological improvements on the supply side, as well as demand-side measures such as reducing food waste, dietary shifts, and changes in consumption habits. Life cycle assessment (LCA) is widely...
Lorenzo Giacomella· Lirias (KU Leuven)· 0 citations
This Compass Brief synthesizes how education systems leverage TIMSS (Trends in International Mathematics and Science Study) and PIRLS (Progress in International Reading Literacy Study) data to inform national reform efforts, drawing on self-reported insights from over 130 participating education systems.
Heiko Sibberns, Juliane Hencke· International Association fo...· 0 citations
Higher HEI-2015 scores were associated with modestly higher fat-free and skeletal muscle mass, while higher adequacy scores were associated with several body-composition measures, including fat-free and skeletal muscle mass and, in the adjusted analysis, fat and trunk fat mass.
Farima Safari, S. Masoumi, Elahe Mansouriyekta et al.· Clinical & Translational Met...· 0 citations
Data cleaning — the process of detecting and remedying missing, erroneous, and inconsistent records in raw datasets — is widely recognized as the most time-consuming and consequential stage of the machine learning preprocessing pipeline. Yet despite its operational centrality, how data cleaning should be taught to unde...
Feyzi Kaysi, Serdar Yilmaz, Canan Akay· International Journal of Tec...· 0 citations
SPARTA poses two transport problems on one spatial graph: a source–sink minimum cut for migrating immune cells and a screened diffusion–absorption equation for an IgG-sized molecule. Release v2.2.0 accompanies the manuscript submitted to Interdisciplinary Sciences: Computational Life Sciences and contains the complete...
Yize Li· Zenodo (CERN European Organi...· 0 citations
Спецификация артефакта данных / Data Artifact Specification (v5.0.0) Проект / Project: Modular System Emulator for Z₁₂ / Z₁₃ in the Superalgebraic Basis F̃₁Версия / Version: 5.0.0 (Global System Edition)Релиз / Release: Предусмотрено для депонирования в Zenodo Open Science RepositoryЛицензия / License: MIT License Опис...
Aleksey Mokhov· Zenodo (CERN European Organi...· 0 citations
This set of files contains ocean heat content (OHC) and steric height derived from satellite altimetry and gravimetry, along with related uncertainties, correction factors, and other diagnostics. The source altimetry data used are the NASA-SSH version 1 gridded sea surface height fields, and the source gravimetry data...
Andrew Spencer Delman, Maria Zyta Hakuba, Thomas Frederikse et al.· Zenodo (CERN European Organi...· 0 citations
This reproducibility package accompanies the manuscript “An autonomous imaging system for reef fish monitoring in the southern Gulf of Mexico”, submitted to Frontiers in Marine Science. Version 2.0.0 corresponds to the revised analytical workflow developed during peer review. The package contains the data, analytical i...
Edlin J. Guerra‐Castro· Zenodo (CERN European Organi...· 0 citations
Warp Analysis Research Pipelines The Warp Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Sciences Platform and collaborators. WARP provides robust, standardized data analysis for the Broad Institute Genomics Platfor...
broadinstitute· Zenodo (CERN European Organi...· 0 citations
Code, tests, locked environment, machine-readable results, manuscript and supplement sources, figures and tables for “Payment Timing and Cash-Flow Ruin under Fixed Incurred Liabilities” (submitted to the Annals of Actuarial Science). A single staged pipeline (`code/reproduce.py`, Python 3.12.10 with an exact package lo...
W M Zhu, Ryan Dinwoodie· Zenodo (CERN European Organi...· 0 citations
This repository contains the analytical datasets, validation outputs, sensitivity-analysis materials and supporting documentation associated with the study: Science Mapping AI-enabled Digital Transformation in Project Management through a Combined Bibliometric and BERTopic Modelling Approach The study combines bibliome...
Styve L. Ndjonkin Simen· Zenodo (CERN European Organi...· 0 citations
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.