Uso do Excel como Ferramenta de Planejamento para Produção de Hortaliças

TCC (graduação) - Universidade Federal de Santa Catarina. Centro de Ciências Agrárias. Curso de Agronomia.Kit SopaO planejamento é parte importante para que uma atividade possa ser organizada, e avaliada como sendo viável. O objetivo do trabalho foi formular um software que possa auxiliar no planejamento e gerenciamento da produção de hortaliças. No município de Zortéa (SC), um grupo de 6 agricultoras se mostrou disposto a produzir hortaliças e industrializa-las na forma de um kit sopa, para suprir uma demanda de 500 kg/ano de alimentos do PNAE. Foram feitas pesquisas com relação a: culturas, variedades, épocas de plantio, doenças e pragas, plantas de cobertura, preços de venda e preços de mudas e/ou sementes, essas informações foram organizadas em bancos de dados e relacionadas para gerar os resultados esperados. Esperasse produzir 567 kits de 1kg, suprindo a demanda e possibilitando comercialização do excedente de outras formas. Poderá ser gerada uma renda bruta de R$8.500,00 sendo R$ 3.739,50 de lucro, rendendo um valor de R$107,5 mensal para cada produtora. A organização de dados e o seu uso a partir do Excel, é um instrumento viável no auxílio ao processo de gestão, no caso de planejamento de produção do kit sopa, como ficou demonstrado pelo trabalho desenvolvidoPlanning is an important part of how an activity can be organized, and evaluated as feasible. The objective of this work was to formulate a software that can assist in the planning and management of vegetable production. In the city of Zortéa (SC), a group of 6 female farmers showed willingness to produce vegetables and industrialized them in the form of a soup kit to supply 500 kg / year of PNAE food. Research was done on: crops, varieties, planting times, diseases and pests, cover crops, 2 selling prices and prices of seedlings and / or seeds, this information was organized into databases and related to generate the expected results. Expect to produce 567 1kg kits, supplying the demand and making it possible to sell the surplus in other ways. A gross income of R$ 8,500.00 can be generated, being R $3,739.50 of profit, yielding a value of R$ 107.5 per month for each producer. The data organization and its use by the excel, is a viable tool in the aid of the management process, in the case of production planning of the soup kit, as demonstrated by this work

C3: High-performance and low-complexity neural compression from a single image or video

Most neural compression models are trained on large datasets of images or videos in order to generalize to unseen data. Such generalization typically requires large and expressive architectures with a high decoding complexity. Here we introduce C3, a neural compression method with strong rate-distortion (RD) performance that instead overfits a small model to each image or video separately. The resulting decoding complexity of C3 can be an order of magnitude lower than neural baselines with similar RD performance. C3 builds on COOL-CHIC (Ladune et al.) and makes several simple and effective improvements for images. We further develop new methodology to apply C3 to videos. On the CLIC2020 image benchmark, we match the RD performance of VTM, the reference implementation of the H.266 codec, with less than 3k MACs/pixel for decoding. On the UVG video benchmark, we match the RD performance of the Video Compression Transformer (Mentzer et al.), a well-established neural video codec, with less than 5k MACs/pixel for decoding

Shadow Banning in Browser-based Volunteering Computing

Browser-based volunteering computing projects are mainly used to perform scientific computations in heterogeneous clusters at a low cost. As for every community-driven approach, saboteurs can try to cheat the system for various reasons. In this paper, we propose to study whether such solutions could improve their performance and resilience by using shadow banning instead of a classic ban scheme. To do so, we have built a framework simulating a real system and studied the impact of shadow banning in relation with task types, saboteur rates, and detection techniques such as majority, m-first and credibility-based voting. Results show that shadow banning is overall more resilient, reducing the number of errors of detection by more than 33.5% in average. It also improves the server-side performance in a significant manner for saboteur rates between 0 and 20%

Emergence of a tunable crystalline order in a Floquet-Bloch system from a parametric instability

Parametric instabilities in interacting systems can lead to the appearance of new structures or patterns. In quantum gases, two-body interactions are responsible for a variety of instabilities that depend on the characteristics of both trapping and interactions. We report on the Floquet engineering of such instabilities, on a Bose-Einstein condensate held in a time-modulated optical lattice. The modulation triggers a destabilization of the condensate into a state exhibiting a density modulation with a new spatial periodicity. This new crystal-like order directly depends on the modulation parameters: the interplay between the Floquet spectrum and interactions generates narrow and adjustable instability regions, leading to the growth, from quantum or thermal fluctuations, of modes with a density modulation non commensurate with the lattice spacing. This study demonstrates the production of metastable exotic states of matter through Floquet engineering, and paves the way for further studies of dissipation in the resulting phase, and of similar phenomena in other geometries.Comment: 12 pages, 9 figure

Floquet operator engineering for quantum state stroboscopic stabilization

Optimal control is a valuable tool for quantum simulation, allowing for the optimized preparation, manipulation, and measurement of quantum states. Through the optimization of a time-dependent control parameter, target states can be prepared to initialize or engineer specific quantum dynamics. In this work, we focus on the tailoring of a unitary evolution leading to the stroboscopic stabilization of quantum states of a Bose-Einstein condensate in an optical lattice. We show how, for states with space and time symmetries, such an evolution can be derived from the initial state-preparation controls; while for a general target state we make use of quantum optimal control to directly generate a stabilizing Floquet operator. Numerical optimizations highlight the existence of a quantum speed limit for this stabilization process, and our experimental results demonstrate the efficient stabilization of a broad range of quantum states in the lattice.Comment: (10 pages, 3 figures

The First 1 1/2 Years of TOTEM Roman Pot Operation at LHC

Since the LHC running season 2010, the TOTEM Roman Pots (RPs) are fully operational and serve for collecting elastic and diffractive proton-proton scattering data. Like for other moveable devices approaching the high intensity LHC beams, a reliable and precise control of the RP position is critical to machine protection. After a review of the RP movement control and position interlock system, the crucial task of alignment will be discussed.Comment: 3 pages, 6 figures; 2nd International Particle Accelerator Conference (IPAC 2011), San Sebastian, Spain; contribution MOPO01

Morphology and Nanomechanics of Sensory Neurons Growth Cones following Peripheral Nerve Injury

A prior peripheral nerve injury in vivo, promotes a rapid elongated mode of sensory neurons neurite regrowth in vitro. This in vitro model of conditioned axotomy allows analysis of the cellular and molecular mechanisms leading to an improved neurite re-growth. Our differential interference contrast microscopy and immunocytochemistry results show that conditioned axotomy, induced by sciatic nerve injury, did not increase somatic size of adult lumbar sensory neurons from mice dorsal root ganglia sensory neurons but promoted the appearance of larger neurites and growth cones. Using atomic force microscopy on live neurons, we investigated whether membrane mechanical properties of growth cones of axotomized neurons were modified following sciatic nerve injury. Our data revealed that neurons having a regenerative growth were characterized by softer growth cones, compared to control neurons. The increase of the growth cone membrane elasticity suggests a modification in the ratio and the inner framework of the main structural proteins

Long-term and trans-life-cycle effects of exposure to ocean acidification in the green sea urchin Strongylocentrotus droebachiensis

Anthropogenic CO2 emissions are acidifying the world’s oceans. A growing body of evidence demonstrates that ocean acidification can impact survival, growth, development and physiology of marine invertebrates. Here, we tested the impact of long-term (up to 16 months) and trans-life-cycle (adult, embryo/larvae and juvenile) exposure to elevated pCO2 (1,200 μatm, compared to control 400 μatm) on the green sea urchin Strongylocentrotus droebachiensis. Female fecundity was decreased 4.5-fold when acclimated to elevated pCO2 for 4 months during reproductive conditioning, while no difference was observed in females acclimated for 16 months. Moreover, adult pre-exposure for 4 months to elevated pCO2 had a direct negative impact on subsequent larval settlement success. Five to nine times fewer offspring reached the juvenile stage in cultures using gametes collected from adults previously acclimated to high pCO2 for 4 months. However, no difference in larval survival was observed when adults were pre-exposed for 16 months to elevated pCO2. pCO2 had no direct negative impact on juvenile survival except when both larvae and juveniles were raised in elevated pCO2. These negative effects on settlement success and juvenile survival can be attributed to carry-over effects from adults to larvae and from larvae to juveniles. Our results support the contention that adult sea urchins can acclimate to moderately elevated pCO2 in a matter of a few months and that carry-over effects can exacerbate the negative impact of ocean acidification on larvae and juveniles