Nachbauprobleme bei Apfelkulturen

Bei wiederholtem Anbau von Obstbäumen am gleichen Standort wird häufig verminderter Wuchs und reduzierter Ertrag beobachtet. Dieses Phänomen wird als Nachbauproblem oder Bodenmüdigkeit bezeichnet. Auch Schweizer Apfelproduzenten sind davon betroffen. Die ACW untersucht mögliche Ursachen

Multilevel regression modelling to investigate variation in disease prevalence across locations

In this article, we show how to investigate the role of individual (personal) risk factors in outcome prevalence in multicentre studies with multilevel modelling. The variation in outcome prevalence is modelled by introducing a random intercept. In the next step, the empty model is compared with the model containing the risk factor(s). Because the outcome is dichotomous, this comparison can only be carried out after having rescaled the models’ parameter values to the variance of an underlying continuous variable. We illustrate this approach with data from Phase Two of the International Study of Asthma and Allergies in Childhood (ISAAC) and provide a corresponding Stata do-file

Automated tracking and analysis of centrosomes in early Caenorhabditis elegans embryos

Motivation: The centrosome is a dynamic structure in animal cells that serves as a microtubule organizing center during mitosis and also regulates cell-cycle progression and sets polarity cues. Automated and reliable tracking of centrosomes is essential for genetic screens that study the process of centrosome assembly and maturation in the nematode Caenorhabditis elegans

Physics-Informed Echo State Networks for Chaotic Systems Forecasting

We propose a physics-informed Echo State Network (ESN) to predict the evolution of chaotic systems. Compared to conventional ESNs, the physics-informed ESNs are trained to solve supervised learning tasks while ensuring that their predictions do not violate physical laws. This is achieved by introducing an additional loss function during the training of the ESNs, which penalizes non-physical predictions without the need of any additional training data. This approach is demonstrated on a chaotic Lorenz system, where the physics-informed ESNs improve the predictability horizon by about two Lyapunov times as compared to conventional ESNs. The proposed framework shows the potential of using machine learning combined with prior physical knowledge to improve the time-accurate prediction of chaotic dynamical systems

Physics-Informed Echo State Networks for Chaotic Systems Forecasting

We propose a physics-informed Echo State Network (ESN) to predict the evolution of chaotic systems. Compared to conventional ESNs, the physics-informed ESNs are trained to solve supervised learning tasks while ensuring that their predictions do not violate physical laws. This is achieved by introducing an additional loss function during the training of the ESNs, which penalizes non-physical predictions without the need of any additional training data. This approach is demonstrated on a chaotic Lorenz system, where the physics-informed ESNs improve the predictability horizon by about two Lyapunov times as compared to conventional ESNs. The proposed framework shows the potential of using machine learning combined with prior physical knowledge to improve the time-accurate prediction of chaotic dynamical systems.Comment: 7 pages, 3 figure

ENTRAP and its potential interaction with European networks

AbstractENTRAP comprises a pan-European cooperation of leading scientific institutions and regulatory bodies in the field of nuclear-waste characterization and its quality assurance for the safe disposal of radioactive waste. Here, the scope of this cooperation is presented and explained and links or interfaces for a potential collaboration with partners fulfilling tasks of IDG-TP are pursued

Power Versus Affiliation in Political Ideology

Posited motivational differences between liberals and conservatives have historically been controversial. This motivational interface has recently been bridged, but the vast majority of studies have used self-reports of values or motivation. Instead, the present four studies investigated whether two classic social motive themes—power and affiliation—vary by political ideology in objective linguistic analysis terms. Study 1 found that posts to liberal chat rooms scored higher in standardized affiliation than power, whereas the reverse was true of posts to conservative chat rooms. Study 2 replicated this pattern in the context of materials posted to liberal versus conservative political news websites. Studies 3 and 4, finally, replicated a similar interactive (ideology by motive type) pattern in State of the State and State of the Union addresses. Differences in political ideology, these results suggest, are marked by, and likely reflective of, mind-sets favoring affiliation (liberal) or power (conservative). </jats:p

Neoliberalism as a Political Rationality: Australian Public Policy Since the 1980s

Since the 1980s, a remarkable transformation has occurred in the rationale that informs public policy in Australia. This transformation reflects a fundamental change in the way national economies and populations are conceived by policy makers and has led to the emergence of new strategies of governance as a consequence. We argue that this change of direction in Australian public policy may be best thought of as a specific neoliberal political rationality. The first section of the paper outlines changes to conceptions of the economy and subjectivity which are associated with neoliberalism as a political rationality. The second part of the paper examines the articulation and implementation of neoliberalism in Australia over the last couple of decades

Sheep Updates 2005 - Part 2

This session covers seven papers from different authors: CONCURRENT SESSIONS - STRATEGIC MANAGEMENT 1.Finishing Pastoral Lambs, Peter Tozer, Patricia Harper, Janette Drew, Department of Agriculture Western Australia 2. Coating Improves Wool Quality under Mixed Farming Conditions, KE Kemper, ML Hebart, FD Brien, KS Grimson, DH Smith AMM Ramsay, South Australian Research and Development Institute 3. J. S. Richards, K.D. Atkins, T. Thompson, W. K. Murray, Australian Sheep Industry Co-operative Research Centre and NSW Department of Primary Industries, Orange Agricultural Institute, Forest Rd. Orange 4. Strategic Risk Management in the Sheep Industry, J.R.L. Hall, ICON Agriculture (JRL Hall & Co) 5. Joining Prime Lambs for the Northern End of the Market - a Systems Approach, Chris Carter, Peter Tozer, Department of Agriculture Western Australia 6. Lifetime Wool - Dry feed budgeting tool, Mike Hyder, department of Agriculture Western Australia, John Young, Farming Systems Analysis Service, Kojonup, Western Australia 7. Influence of ultrafine wool fibre curvature and blending with cashmere on attributes of knitwear, B. A. McGregor, Primary Industries Research Victoria, Department of Primary Industries, Victori