430 research outputs found
Gras-erwten of gerst-erwten
No full textVlugschrift waarin gras-erwten of gerst-erwtenteelt wordt vergeleken met gras-klaver als voedergewas
Umsetzung des Widerrufrechtes bei der Verarbeitung von Gesundheitsdaten in Forschungsprojekten
No full textGrenze als Methode oder die Vervielfältigung der Arbeit
No full textE' la traduzione tedesca di alcune sezioni del primo e del terzo capitolo del nostro libro "Border as Method, or, the Multiplication of Labor" (2013), all'interno di un volume che si propone di documentare gli sviluppi più recenti a livello internazionale degli studi sui confini
Integrated assessment of mitigation strategies using an agent-based model of the linked energy, economic, and climate system
No full textAn alternative to the typical application of rational choice models to climate policy is the coupling of agent-based modeling and exploratory approaches. Agent-based models (ABMs) represent the world as made up of heterogeneous, boundedly-rational agents who act in their own interests and yet engage in substantive communication. Rather than focusing on optimal outcomes, agent-based models are primarily concerned with the evolution of large-scale properties that 'emerge' from the lower-level behavior. Consequently, ABMs have the potential to address complex system properties and generate a wider array of plausible storylines than more traditional integrated assessment modeling methodologies. We provide an overview of a new agent-based model of economic growth, energy technology, and climate change, and demonstrate use of the model for scenario discovery. Scenario discovery generates ensembles of plausible futures under alternative assumptions and hypotheses concerning system behavior. Such scenarios can help identify policy vulnerabilities and opportunities, thus supporting the design of robust climate change mitigation strategies
Influence of Weather Parameters on Seasonal Incidence of Pod Boring Weevil, Apion clavipes Gerst (Apionidae: Coleoptera) on Pigeonpea [Cajanus cajan (L.) Millsp.] under West Bengal Conditions
No full textPigeon pea is a high protein legume cultivated by marginal farmers in the Indian sub-continent. It exposes a wide variety of biotic stresses especially insect pests. Pod boring weevil, Apion clavipes Gerst is a major concern in eastern India which causes direct damages to economic parts such as flowers and pods. Pod boring weevil, Apion clavipes Gerst infests pigeonpea during vegetative, flowering, pod formation and pod maturity stages. However, there is not much information on seasonal incidence of pod boring weevil, A. clavipes Gerst on this particular host, which is very much essential for forecasting and forewarning of pest incidence and development of Integrated Pest Management module. The seasonal incidence of pod boring weevil was studied in two consecutive years during 2016-17 and 2017-18. The grub and weevil populations in shoots, flower raceme and pods were recorded and obtained weather data from automatic weather station of BCKV, West Bengal and subjected to correlation and regression analysis. The experimental results revealed that pest population started during 43rd SMW (4th week of October) and pest population attained the maximum population of 45.00 grub/plant during 4th SMW (4th week of January). Pest population was observed till 11th SMW (3rd week of March). Seasonal incidence of pod boring weevil negatively correlated with maximum relative humidity, minimum relative humidity and rainfall, whereas, positively correlated with maximum temperature, minimum temperature and sunshine hours
Agent-based modeling of climate policy: An introduction to the ENGAGE multi-level model framework
No full text“If you want to understand the big issues, you need to understand the everyday practices that constitute them” : Lucy Suchman in Conversation With Dominik Gerst & Hannes Krämer
No full textWith her book "Plans and Situated Actions: The Problem of Human-Machine Communication," Lucy SUCHMAN (1987) not only opened up a whole new domain of scientific interest but also showed how the scope of ethnomethodological inquiry can be widened in a fruitful way. Since then she is best known for her extensive contributions to the field of science and technology studies. In this interview, SUCHMAN gives insights into how she brought ethnomethodological sensibilities to new research fields, including human-machine interaction and feminist scholarship. She shares personal anecdotes of her meetings with Harold GARFINKEL and reflects upon key ethnomethodological elements such as the analysis of mundane practices and the fundamental sociality of mutual intelligibility. Discussing the relevance for material studies and how ethnomethodology can contribute to a politically engaged social science, SUCHMAN strikingly demonstrates the actuality of ethnomethodology's program
Agent-based modeling of climate policy: An introduction to the ENGAGE multi-level model framework
No full textModel-based support of climate policy is scientifically challenging because climate change involves linked physical and social systems that operate on multiple levels: local, national, and international. As a result, models must employ some strongly simplifying assumptions. The most frequently used models typically assume hyper-rational and homogenous human behavior. These ensure tractability but, as a trade-off, abstract away the effects of less-than-rational decision-making and actor heterogeneity on domestic policy effectiveness and the influence of domestic constituents on international policy agreement. In this paper, we introduce a multi-level model framework, called ENGAGE, that relaxes some common modeling assumptions by adopting an agent-based approach. ENGAGE is styled after the Putnam two-level game, in which negotiators at the international level are constrained by the heterogeneous policy preferences and power of constituents at the domestic level. We proceed to provide a detailed description and demonstration of the prototype domestic-level module. Domestic actors include firms and households who function as agents within an evolutionary representation of economic growth, energy technology, and climate change. This allows an evaluation of policies that accounts for agent decision-making and social and technological change. Ultimately, we plan to use the ENGAGE model to simulate the two-way dynamic feedback between international agreements and domestic policy outcomes
Predicting pavement evaluation from the International Roughness Index
No full textIn 2008, the Indiana LTAP Board approved funding for an update to a needs assessment project completed in 2001. The objective was to estimate the current funding deficiencies for county highway and city/town street departments. IRI and PASER data was collected by an outside vendor to estimate the condition of roadways throughout Indiana. This data predictably illustrated the deteriorating conditions present on local roads statewide. An efficient way to improve road conditions and maintain them at an acceptable level is through the implementation of a pavement management plan. Many different variations exist; however, this study focused on a plan utilizing road conditions to prioritize road segments. Pavement condition ratings such as the PASER are the most logical choice for assigning road conditions. The PASER accounts for a wide range of pavement distresses, including cracking, rutting, raveling, and potholes, and provides maintenance recommendations for each rating. The downside of using the PASER system is the laborious and time-consuming process of manually assigning ratings; whereas, the IRI is calculated in real-time while driving over a road segment. The IRI and PASER data collected for the updated needs assessment report provided an opportunity to closely examine the relationship between these two measurements. A statistical model that predicts the PASER from the IRI would provide a quicker and more efficient way of assigning road conditions for use in a pavement management plan. An ordered probit model was chosen as the best statistical model for the given dataset. Additional variables including section length, section width, and various county specific data were examined along with the IRI as predictors of PASER. A model was derived that can provide network-level predictions and planning applications such as budget estimates. It also provides some confidence in predicting the poorest road segments according to the PASER scale (1 through 4). These segments can be directly observed in the field to assign preventative maintenance measures and implement a pavement management plan
Super-Resolution Single Molecule FISH at the Drosophila Neuromuscular Junction
No full text The lack of an effective, simple, and highly sensitive protocol for fluorescent in situ hybridization (FISH) at the Drosophila larval neuromuscular junction (NMJ) has hampered the study of mRNA biology. Here, we describe our modified single molecule FISH (smFISH) methods that work well in whole mount Drosophila NMJ preparations to quantify primary transcription and count individual cytoplasmic mRNA molecules in specimens while maintaining ultrastructural preservation. The smFISH method is suitable for high-throughput sample processing and 3D image acquisition using any conventional microscopy imaging modality and is compatible with the use of antibody colabeling and transgenic fluorescent protein tags in axons, glia, synapses, and muscle cells. These attributes make the method particularly amenable to super-resolution imaging. With 3D Structured Illumination Microscopy (3D-SIM), which increases spatial resolution by a factor of 2 in X, Y, and Z, we acquire super-resolution information about the distribution of single molecules of mRNA in relation to covisualized synaptic and cellular structures. Finally, we demonstrate the use of commercial and open source software for the quality control of single transcript expression analysis, 3D-SIM data acquisition and reconstruction as well as image archiving management and presentation. Our methods now allow the detailed mechanistic and functional analysis of sparse as well as abundant mRNAs at the NMJ in their appropriate cellular context. </p
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