952 resultados para Dates de péremption


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L’objectif de cet essai est de formuler des recommandations afin de diminuer le gaspillage alimentaire dans les épiceries québécoises. Le gaspillage alimentaire est une problématique mondiale de plus en plus considérée comme une préoccupation prioritaire par le public, les entreprises et les instances nationales et internationales. Les causes du gaspillage alimentaire sont multiples et le phénomène se produit dans toutes les régions du monde, à toutes les étapes de la chaîne agroalimentaire, de la production agricole à la consommation. Le gaspillage alimentaire engendre de lourdes conséquences environnementales, économiques et sociales. Il participe à l’insécurité alimentaire et contribue aux changements climatiques et à l’épuisement des ressources, en plus de générer des coûts économiques pour la production d’aliments qui ne seront pas consommés. S’attaquer à la problématique du gaspillage alimentaire signifie donc s’attaquer à tous ces impacts négatifs. Au Québec, l’intérêt envers le phénomène du gaspillage alimentaire s’accroît, mais les solutions structurées tardent à se mettre en place. Les épiceries ont un important rôle à jouer dans la réduction du gaspillage alimentaire puisqu’elles influencent, en amont et en aval, tous les acteurs de la chaîne agroalimentaire. L’étude du marché agroalimentaire québécois et des différentes initiatives locales et étrangères de lutte au gaspillage alimentaire met en évidence trois grandes solutions structurées de réduction du gaspillage dans les épiceries : le don alimentaire, la vente de produits déclassés et la révision du système de dates de péremption des aliments. L’analyse du fonctionnement de ces solutions et de leur mise en œuvre dans le contexte des épiceries québécoises permet d’identifier les contraintes et les éléments à considérer pour réduire le gaspillage alimentaire de façon concrète et efficace. Ainsi, en respect d’une hiérarchie des modes de gestion des aliments qui favorise la réduction à la source et le détournement avant l’élimination, les recommandations formulées suggèrent de : réviser le système des dates de péremption pour améliorer la distinction entre les notions de fraîcheur et de salubrité des aliments; promouvoir et faciliter la vente de fruits et légumes déclassés dans les épiceries en diminuant les critères esthétiques exigés qui conduisent à un important gaspillage de denrées comestibles; mettre en place des incitatifs économiques pour réduire les contraintes financières et logistiques reliées au don alimentaire pour les épiceries et les organismes de redistribution; et valoriser les résidus alimentaires par la biométhanisation ou le compostage pour limiter les impacts environnementaux du gaspillage alimentaire. Les recommandations soulignent également l’importance d’étudier le phénomène et de documenter la problématique, afin de suggérer des solutions toujours plus efficaces et adaptées à chaque groupe d’acteurs et chaque étape de la chaîne agroalimentaire.

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Projected increases in atmospheric carbon dioxide concentration ([CO2]) and air temperature associated with future climate change are expected to affect crop development, crop yield, and, consequently, global food supplies. They are also likely to change agricultural production practices, especially those related to agricultural water management and sowing date. The magnitude of these changes and their implications to local production systems are mostly unknown. The objectives of this study were to: (i) simulate the effect of projected climate change on spring wheat (Triticum aestivum L. cv. Lang) yield and water use for the subtropical environment of the Darling Downs, Queensland, Australia; and (ii) investigate the impact of changing sowing date, as an adaptation strategy to future climate change scenarios, on wheat yield and water use. The multimodel climate projections from the IPCC Coupled Model Intercomparison Project (CMIP3) for the period 2030–2070 were used in this study. Climate scenarios included combinations of four changes in air temperature (08C, 18C, 28C, and 38C), three [CO2] levels (380 ppm, 500 ppm, and 600 ppm), and three changes in rainfall (–30%, 0%, and +20%), which were superimposed on observed station data. Crop management scenarios included a combination of six sowing dates (1 May, 10 May, 20 May, 1 June, 10 June, and 20 June) and three irrigation regimes (no irrigation (NI), deficit irrigation (DI), and full irrigation (FI)). Simulations were performed with the model DSSAT4.5, using 50 years of daily weather data.Wefound that: (1) grain yield and water-use efficiency (yield/evapotranspiration) increased linearly with [CO2]; (2) increases in [CO2] had minimal impact on evapotranspiration; (3) yield increased with increasing temperature for the irrigated scenarios (DI and FI), but decreased for the NI scenario; (4) yield increased with earlier sowing dates; and (5) changes in rainfall had a small impact on yield for DI and FI, but a high impact for the NI scenario.

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"It’s late in the night. And after a long day at work, you have a splitting headache. You rattle around in the bottom drawer of the bathroom vanity to find a packet of paracetamol tablets you know are hiding there. Phew, relief is at hand! Then you turn the packet over and discover that the crumpled box of pills actually expired two years ago..."--http://theconversation.com/explainer-do-we-need-to-follow-medication-use-by-dates-4329

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The ability to initiate and manipulate flowering with KClO3 allows flowering of longan, to be triggered outside of the normal flowering season (July-September) in Australia. Fruit maturity following normal flowering will occur approximately six-eight months (180-220 days) from flowering, depending on variety. Out of season flowering will result in differing times to maturity due to different temperature regimes during the maturity period. Knowing how long fruit will take to mature from different KClO3 application dates is potentially a valuable tool for growers to use as it would allow them to time their applications with market opportunities, e.g. Chinese New Year, periods of low volumes or periods of high prices. A simple heat-sum calculation was shown to reliably quantify fruit maturity periods, 2902 and 3432 growing degree days for Kohala and Biew Kiew respectively. Growers can use heat-sum as a predictive tool to allow for efficient planning of harvesting, packaging and freight requirements.

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The bulk of the collections consists of correspondence from the 1930s relating to Michels’s job applications in the U.S. in different academic institutions and activities of the Hilfsverein der Juden in Deutschland. Also included is a 36 p. typescript, ‘Geschichte der Familie Wertheimer’; pamphlets by Juda Magnes and Kurt Blumenfeld on the university in Jerusalem; as well as family trees.

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This study considers the scheduling problem observed in the burn-in operation of semiconductor final testing, where jobs are associated with release times, due dates, processing times, sizes, and non-agreeable release times and due dates. The burn-in oven is modeled as a batch-processing machine which can process a batch of several jobs as long as the total sizes of the jobs do not exceed the machine capacity and the processing time of a batch is equal to the longest time among all the jobs in the batch. Due to the importance of on-time delivery in semiconductor manufacturing, the objective measure of this problem is to minimize total weighted tardiness. We have formulated the scheduling problem into an integer linear programming model and empirically show its computational intractability. Due to the computational intractability, we propose a few simple greedy heuristic algorithms and meta-heuristic algorithm, simulated annealing (SA). A series of computational experiments are conducted to evaluate the performance of the proposed heuristic algorithms in comparison with exact solution on various small-size problem instances and in comparison with estimated optimal solution on various real-life large size problem instances. The computational results show that the SA algorithm, with initial solution obtained using our own proposed greedy heuristic algorithm, consistently finds a robust solution in a reasonable amount of computation time.

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We consider the problem of scheduling semiconductor burn-in operations, where burn-in ovens are modelled as batch processing machines. Most of the studies assume that ready times and due dates of jobs are agreeable (i.e., ri < rj implies di ≤ dj). In many real world applications, the agreeable property assumption does not hold. Therefore, in this paper, scheduling of a single burn-in oven with non-agreeable release times and due dates along with non-identical job sizes as well as non-identical processing of time problem is formulated as a Non-Linear (0-1) Integer Programming optimisation problem. The objective measure of the problem is minimising the maximum completion time (makespan) of all jobs. Due to computational intractability, we have proposed four variants of a two-phase greedy heuristic algorithm. Computational experiments indicate that two out of four proposed algorithms have excellent average performance and also capable of solving any large-scale real life problems with a relatively low computational effort on a Pentium IV computer.

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Scholars recently derived simple models from published data for the prediction from water temperature of hatching times for the eggs of brown trout (Salmo trutta L.) and Atlantic salmon (Salmo salar L.). A similar model to predict eyeing time for salmon eggs was obtained and used in this study, largely by analogy, to develop equations which might be used to obtain very approximate estimates of eyeing and swim-up times for salmon and brown trout. As the models were based on data for constant temperatures and some of them also had a very inadequate data base, it was desirable that they should be tested, as far as possible, against field and hatchery observations. The present report is a brief summary based on such data as have been obtained to date. None of the data sets were ideal for the purpose and the various inadequacies are discussed later in this report.

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Three distinct, first millennium BC tephras (BMR-190, OMH-185, GB4-150) have been recognized in Irish peat deposits, including a previously undated ash (BMR-190). We present the results of a programme of high-precision 14C wiggle-matching on a peat profile containing all three tephras from Glen West, County Fermanagh, Northern Ireland. The wiggle-match provides highly refined dates of 705-585cal. BC for BMR-190, 755-680cal. BC for OMH-185 and 800-758cal. BC for GB4-150. The tephras constitute valuable, widespread isochrones for palaeoecological research across the first millennium BC, when a prolonged 14C calibration plateau between 750 and 400 cal. BC presents a major problem to dating and correlating palaeoenvironmental events from multisite, multiproxy studies of the period.

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The growing importance of understanding past abrupt climate variability at a regional and global scale has led to the realisation that independent chronologies of past environmental change need to be compared between various archives. This has in turn led to attempts at significant improvements in the required precision at which records can be dated. Radiocarbon dating is still the most prominent method for dating organic material from terrestrial and marine archives, and as such many of the recent developments in improving precision have been aimed at this technique. These include: (1) selection of the most suitable datable fractions within a record, (2) the development of better calibration curves, and (3) more precise age modelling techniques. While much attention has been focussed oil the first two items, testing the possibilities of the relatively new age modelling approaches has not received much attention. Here, we test the potential for methods designed to significantly improve precision in radiocarbon-based age models, wiggle match dating and various forms of Bayesian analyses. We demonstrate that while all of the methods can perform very well, in some scenarios, caution must be taken when applying them. It appears that an integrated approach is required in real life dating situations where more than one model is applied, with strict error calculation, and with the integration of radiocarbon data with sedimentological analyses of site formation processes. (C) 2007 Elsevier Ltd. All rights reserved.

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Tephra horizons are potentially perfect time markers for dating and cross-correlation among diverse Holocene palaeoenvironmental records such as ice cores and marine and terrestrial sequences, but we need to trust their age. Here we present a new age estimate of the Holocene Mjauvotn tephra A using accelerator mass spectrometry C-14 dates from two lakes on the Faroe Islands. With Bayesian age modelling it is dated to 6668-6533 cal. a BP (68.2% confidence interval) - significantly older and better constrained than the previous age. Copyright (C) 2010 John Wiley & Sons, Ltd.