Estimativa do nível crítico de cobre para a soja, em solos do cerrado brasileiro.

A prática da monocultura de soja no Brasil, com o passar do tempo, pode diminuir o teor de matéria orgânica dos solos, sendo esse problema mais sério em solos arenosos. Isso tem aumentado a deficiência de certos micronutrientes, em especial o cobre (Cu). Além disso, a aplicação de adubos, muitas vezes em demasia e sem critério técnico, pode provocar problemas nutricionais de toxicidade ou deficiência desse micronutriente. Com a expansão da soja nas regiões de solos de Cerrado, passou-se para o cultivo em solos de textura média a arenosa, com teores de argila inferiores a 200 g.kg-1, CTC baixa e, originalmente, com baixo teor de Cu. Foram instalados experimentos, com a cultura da soja, em três solos do Cerrado: Latossolo Vermelho Amarelo (LVA) com 260 g.kg-1 de argila, no município de Tasso Fragoso, Latossolo Vermelho (LV) com 450 g.kg-1 de argila, no município de São Raimundo das Mangabeiras, ambos no sul do Estado do Maranhão e em Latossolo Vermelho (LV) com 550 g.kg-1 de argila, no município de Pedra Preta, sudeste do Estado do Mato Grosso, com seis doses de Cu (0; 1,25; 2,5; 5,0; 10 e 20 kg/ha), da fonte sulfato de cobre (30% de Cu) e seis níveis de saturação de bases (V%=30, 40, 50, 60, 70 e 80), com quatro repetições. Os valores estimados, acima dos quais não é esperada resposta à aplicação de cobre, são de 0,74 mg.dm-3 e 0,34 mg.dm-3 de Cu2+, pelos métodos Mehlich e DTPA, respectivamente. Portanto, as faixas de Cu no solo em mg.dm-3, para interpretação dos níveis do nutriente no solo são: para o Método Mehlich-1; Baixo 0,74. Para o Método DTPA; Baixo 0,34

Credimus

We believe that economic design and computational complexity---while already important to each other---should become even more important to each other with each passing year. But for that to happen, experts in on the one hand such areas as social choice, economics, and political science and on the other hand computational complexity will have to better understand each other's worldviews. This article, written by two complexity theorists who also work in computational social choice theory, focuses on one direction of that process by presenting a brief overview of how most computational complexity theorists view the world. Although our immediate motivation is to make the lens through which complexity theorists see the world be better understood by those in the social sciences, we also feel that even within computer science it is very important for nontheoreticians to understand how theoreticians think, just as it is equally important within computer science for theoreticians to understand how nontheoreticians think

An Evaluation of the Return to Practice Programme (Nursing) at City University of London (2017-2018)

In response to concerns over a predicted chronic nursing shortage recent focus has been placed on Return to Practice (RTP) programmes, which aim to increase the nursing workforce by enabling former nurses to return to the profession. In order to encourage former nurses to return to practice, it is important to understand the motivations, expectations and experiences of current returnees by evaluating RTP programmes. Aims: To evaluate the RTP programme by exploring the views and experiences of returnees to nursing, and of the nursing staff who support them. Methods: This was a mixed methods study: an electronic survey of all students currently or recently on the RTP programme at City, University of London; and interviews with a range of stakeholders, including returnees, mentors and senior managers, at North East London Foundation Trust (NELFT). Descriptive statistics were used to summarise quantitative responses to the survey and Framework method was employed to analyse qualitative data. Results: Seventy-four responses to the survey were received; eight interviews were carried out with returnees, and five with NELFT staff. Overall, data suggests that the programme has been very successful: most views were positive, many were very positive. Though returnees found the course fairly challenging, they also found it largely fit for purpose. There were many useful suggestions about how to improve and promote the programme. There were also some reservations about the organisation of placements and of mentorship arrangements, the latter largely due to the difficulty of arranging for time for returnees and their mentors to work together. Recommendations: RTP programmes should be continued and if possible expanded. Wider advertising, ideally involving successful RTP returnees, should be used to attract more recruits, and funding for returnees should be maintained or increased. Higher Education Institutions (HEIs) should offer support to enable RTP nurses to return to study and to achieve their academic objectives as smoothly as possible. This may include responding to the individual learning needs of RTP nurses and allowing flexibility for students who need longer for private study. National Health Service (NHS) Trusts/Boards should ensure that Human Resource (HR) departments are willing and able to deal quickly with arrangements for employed RTP students. Processes for arranging placements should include realistic timetables for Disclosure and Barring Service (DBS) checks to be carried out. NHS providers should consider the suggestion that returnees can arrange their own placements if they wish. NHS providers should make even greater efforts to ensure that front-line staff understand the position of RTP nursing students, what they can expect from them and what their responsibilities to them are. Recent RTP graduates should be encouraged and enabled to support future RTP students. As champions of the programme, they should support the Trust in clarifying to existing staff what RTP students need and can be permitted to do

Formation and Interaction of Membrane Tubes

We show that the formation of membrane tubes (or membrane tethers), which is a crucial step in many biological processes, is highly non-trivial and involves first order shape transitions. The force exerted by an emerging tube is a non-monotonic function of its length. We point out that tubes attract each other, which eventually leads to their coalescence. We also show that detached tubes behave like semiflexible filaments with a rather short persistence length. We suggest that these properties play an important role in the formation and structure of tubular organelles.Comment: 4 pages, 3 figure

Rpair: Rescaling RePair with Rsync

Data compression is a powerful tool for managing massive but repetitive datasets, especially schemes such as grammar-based compression that support computation over the data without decompressing it. In the best case such a scheme takes a dataset so big that it must be stored on disk and shrinks it enough that it can be stored and processed in internal memory. Even then, however, the scheme is essentially useless unless it can be built on the original dataset reasonably quickly while keeping the dataset on disk. In this paper we show how we can preprocess such datasets with context-triggered piecewise hashing such that afterwards we can apply RePair and other grammar-based compressors more easily. We first give our algorithm, then show how a variant of it can be used to approximate the LZ77 parse, then leverage that to prove theoretical bounds on compression, and finally give experimental evidence that our approach is competitive in practice

Analysis of the Karmarkar-Karp Differencing Algorithm

The Karmarkar-Karp differencing algorithm is the best known polynomial time heuristic for the number partitioning problem, fundamental in both theoretical computer science and statistical physics. We analyze the performance of the differencing algorithm on random instances by mapping it to a nonlinear rate equation. Our analysis reveals strong finite size effects that explain why the precise asymptotics of the differencing solution is hard to establish by simulations. The asymptotic series emerging from the rate equation satisfies all known bounds on the Karmarkar-Karp algorithm and projects a scaling $n^{-c\ln n}$, where $c=1/(2\ln2)=0.7213...$. Our calculations reveal subtle relations between the algorithm and Fibonacci-like sequences, and we establish an explicit identity to that effect.Comment: 9 pages, 8 figures; minor change

Inscribing a discipline: tensions in the field of bioinformatics

Bioinformatics, the application of computer science to biological problems, is a central feature of post-genomic science which grew rapidly during the 1990s and 2000s. Post-genomic science is often high-throughput, involving the mass production of inscriptions [Latour and Woolgar (1986), Laboratory Life: the Construction of Scientific Facts. Princeton, NJ: Princeton University Press]. In order to render these mass inscriptions comprehensible, bioinformatic techniques are employed, with bioinformaticians producing what we call secondary inscriptions. However, despite bioinformaticians being highly skilled and credentialed scientists, the field struggles to develop disciplinary coherence. This paper describes two tensions militating against disciplinary coherence. The first arises from the fact that bioinformaticians as producers of secondary inscriptions are often institutionally dependent, subordinate even, to biologists. With bioinformatics positioned as service, it cannot determine its own boundaries but has them imposed from the outside. The second tension is a result of the interdisciplinary origin of bioinformatics – computer science and biology are disciplines with very different cultures, values and products. The paper uses interview data from two different UK projects to describe and examine these tensions by commenting on Calvert's [(2010) “Systems Biology, Interdisciplinarity and Disciplinary Identity.” In Collaboration in the New Life Sciences, edited by J. N. Parker, N. Vermeulen and B. Penders, 201–219. Farnham: Ashgate] notion of individual and collaborative interdisciplinarity and McNally's [(2008) “Sociomics: CESAGen Multidisciplinary Workshop on the Transformation of Knowledge Production in the Biosciences, and its Consequences.” Proteomics 8: 222–224] distinction between “black box optimists” and “black box pessimists.

Aviation turbulence: dynamics, forecasting, and response to climate change

Atmospheric turbulence is a major hazard in the aviation industry and can cause injuries to passengers and crew. Understanding the physical and dynamical generation mechanisms of turbulence aids with the development of new forecasting algorithms and, therefore, reduces the impact that it has on the aviation industry. The scope of this paper is to review the dynamics of aviation turbulence, its response to climate change, and current forecasting methods at the cruising altitude of aircraft. Aviation-affecting turbulence comes from three main sources: vertical wind shear instabilities, convection, and mountain waves. Understanding these features helps researchers to develop better turbulence diagnostics. Recent research suggests that turbulence will increase in frequency and strength with climate change, and therefore, turbulence forecasting may become more important in the future. The current methods of forecasting are unable to predict every turbulence event, and research is ongoing to find the best solution to this problem by combining turbulence predictors and using ensemble forecasts to increase skill. The skill of operational turbulence forecasts has increased steadily over recent decades, mirroring improvements in our understanding. However, more work is needed—ideally in collaboration with the aviation industry—to improve observations and increase forecast skill, to help maintain and enhance aviation safety standards in the future