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35 results for “food waste”
Automatic System for Food Waste Assessment at Household
<p>ntroducing the Automatic System for Food Waste Assessment at Household developed under the WASTELESS project. This tool, which is tailored to everyday use, supports the measurement of food waste in households and is intended to improve and validate existing methods such as surveys. The tool includes a set of features to measure and estimate various types of food waste generated in households. The developed tool will be demonstrated on a representative sample of households to ensure its reliability and applicability. The core of this tool is a user-friendly scale complemented by a dedicated application for cell phones that enables seamless data collection and transfer to a centralized database. The data collected is then analysed and the results obtained are extrapolated to a wider population, allowing a more comprehensive evaluation of the parameters traditionally determined with questionnaires and interviews.</p>
Free Living Food Waste Management and Diet Quality Improvement Using Smart Intervention and Food Image Application
ClinicalTrials.gov study NCT05061888. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Data from: Effect of yeast addition on the biogas production performance of a food waste anaerobic digestion system
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Data for: Of the first five US states with food waste bans, Massachusetts alone has reduced landfill waste
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Supplemental information of "Food waste utilized as resources can reduce climate and resource burdens in agrifood systems"
<p>(1) Source data (Data 1) for bootstrapping analysis to compute means and 95% CIs of carbon footprint and product metrics of food waste treatments, as well as food waste landfill emissions. The revised version incorporated the original reported carbon footprint data for different food waste managements.</p> <p>(2) Source data (Data 2) for food waste management schemes of US, EU, and China for emission estimation as well as emission mitigation analyses.</p> <p>(3) List of studies selected from a systematic literature review.</p> <p>(4) Script code and output report from STATA.</p>
Ammonia recovery from food waste digestate using solar heat-assisted stripping-absorption
<p>The highest costs of stripping-absorption processes for ammonia recovery are related to energy (for heating and air supply) and chemical addition (for pH adjustment). In this paper, a simplified system that used no chemicals, and a renewable source of energy for heating, was tested to recover nitrogen as ammonium sulfate from food waste digestate. pH adjustment was achieved by CO<sub>2</sub> stripping, and vacuum tube solar collectors were used to provide heating. The effect of different temperatures (25 °C and 45 °C) and gas to liquid ratios (1700 and 2600) on ammonia removal and recovery were assessed. Ammonia removal efficiencies higher than 91% were achieved for all evaluated experimental conditions. The solar heater showed adequate capacity to increase the temperature of the liquid digestate by 21 °C and maintain the temperature at 45 °C throughout the experiment. Tests carried out at 45 °C achieved the highest ammonia removal efficiency (98%) at the lowest evaluated G/L ratio (1700). Better absorption efficiencies could potentially have been achieved if lower inlet airflow rates and packing material had been used in the absorption column.</p>
Supplemental information of "Transitioning from food waste disposal to treatment and reuse can achieve meaningful reductions in food's climate and resource burdens"
<p>(1) Source data (Data 1) for bootstrapping analysis to compute means and 95% CIs of carbon footprint and product metrics of food waste treatments, as well as food waste landfill emissions</p> <p>(2) Source data (Data 2) for food waste management schemes of US, EU, and China for emission estimation as well as emission mitigation analyses</p> <p>(3) STATA output report</p> <p>(4) List of studies selected from a systematic literature review</p>
Economic and Nutritional Losses Result from Household Food Waste Behavior in the Special Region of Yogyakarta
<p>This material has presented on 2nd International Conference on Advance Research in Agriculture and Food 2023 in October 25, 2023.</p>
Effectiveness and Cost-Effectiveness of Four Formulations of Food Supplements for the Prevention of Wasting and Stunting in Burkina Faso
ClinicalTrials.gov study NCT02071563. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Food Supplement Treatment for Wasting Children in Indonesia
ClinicalTrials.gov study NCT03509155. IPD Sharing: UNDECIDED. Countries: 1. Publications: 5.
Beyond Hermetia illucens: The garden soldier fly Exaireta spinigera as a potential bioconverter of food waste
<p>Using insects to convert food waste into useable products, such as livestock feed, is an elegant solution to the twin crises of waste disposal and food production. To date, the black soldier fly (<i>Hermetia illucens)</i> has garnered intense research interest as an excellent bioconverter that consumes wastes and converts them into high protein larval biomass that can be fed to livestock or converted into biodiesel. However, other members of the soldier fly family (Stratiomyidae) have received far less attention despite similar life history traits. Here we examine the seasonality and performance (protein content and protein conversion efficiency) of larval Australian garden soldier flies, <i>Exaireta spinigera</i>.</p> <p> We first examined the state of knowledge about <i>E. spinigera's</i> biology and life history via a literature search. Next, we used a global biodiversity database to infer the seasonality of <i>E. spinigera </i>in Australia. Finally, we conducted outdoor feeding experiments to investigate protein content and protein conversion efficiency of larvae fed wastes ranging from 100% fruit and vegetable waste (low protein) to 100% poultry feed (higher protein).</p> <p><i>Exaireta spinigera</i> appears to be a winter active species, with reported sightings peaking during cooler months of the year. <i>Exaireta spinigera</i> larvae also dominated outdoor bucket traps during the winter, when <i>H. illucens</i> was otherwise inactive. <i>Exaireta spinigera</i> larvae had decreased protein content and decreased protein conversion efficiency when fed foods that contained a high proportion of low-protein food waste. However even in the 100% food waste treatment, the protein content of <i>E. spinigera</i> was relatively high at 38.6% crude protein.</p> <p>We suggest that <i>E. spinigera</i> is an excellent candidate for further research as it can convert low quality food waste into high protein larvae at colder temperatures than <i>H. illucens</i>. Our results highlight the benefits of investigating a wider range of dipteran species for their bioconversion abilities.</p>
Beyond Hermetia illucens: The garden soldier fly Exaireta spinigera as a potential bioconverter of food waste
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Global Transcriptomics Reveals Carbon Footprint of Food Waste in the Bioconversion of Ecofriendly Polymers
GEO Series GSE296860. Cupriavidus necator. 17 samples. Type: Expression profiling by high throughput sequencing.
Food Safety, Security and Waste Prevention Intervention on the KAB-P Approach of University Students
ClinicalTrials.gov study NCT05877495. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Food Waste Disposer Particle Characterisation
<p>Research by The University of Sheffield for InSinkErator</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.