1,809 research outputs found
Agriculture as a source of fuel prospects and impacts, 2007 to 2017
Resource /Energy Economics and Policy,
EVALUATING THE IMPACTS OF AN INCREASE IN FUEL-ETHANOL DEMAND ON AGRICULTURE AND THE ECONOMY
Fuel ethanol demand is projected to increase because of proposed ban on methyl tertiary butyl ether (MTBE) in gasoline, renewable fuels standard, and the revised eight-hour ozone standards. In this paper, several scenarios of increased fuel ethanol demand and its effects on crop and feed prices, farm income and state finances under current tax-subsidy structure, are analyzed using a multi-sector econometric model AGMOD.Resource /Energy Economics and Policy,
Gene tree reconciliation: new developments in Bayesian concordance analysis with BUCKy
When phylogenetic trees inferred from different genes are incongruent, several methods are available to reconcile gene trees and extract the shared phylogenetic information from the sequence data. Bayesian Concordance Analysis, implemented in BUCKy, aims to extract the vertical signal and to infer clusters of genes that share the same tree topology. The new version of BUCKy includes a quartet-based estimate of the species tree with branch lengths in coalescent units
Bacteriophages as a model for studying carbon regulation in aquatic system
The interconversion of carbon in organic, inorganic and refractory carbon is still beyond the grasp of present environmentalists. The bacteria and their phages, being the most abundant constituents of the aquatic environment, represent an ideal model for studing carbon regulation in the aquatic system. The refractory dissolved organic carbon (DOC), a recently coined terminology from the microbe-driven conversion of bioavailable organic carbon into difficult-to-digest refractory DOC by microbial carbon pump (MCP), is suggested to have the potential to revolutionize our view of carbon sequestration. It is estimated that about 95% of organic carbon is in the form of refractory DOC, which is the largest pool of organic matter in the ocean. The refractory DOC is supposed to be the major factor in the global carbon cycle whose source is not yet well understood. A key element of the carbon cycle is the microbial conversion of dissolved organic carbon into inedible forms. The time studies of phage-host interaction under control conditions reveal their impact on the total carbon content of the source and their interconversion among organic, inorganic and other forms of carbon with respect to control source. The TOC- analysis statistics stipulate an increase in inorganic carbon content by 15-25 percent in the sample with phage as compared to the sample without phage. The results signify a 60-70 fold increase in inorganic carbon content in sample with phage, whereas, 50-55 fold in the case of sample without phages as compared with control. This increase in inorganic carbon content may be due to lysis of the host cell releasing its cellular constituents and utilization of carbon constituent for phage assembly and development. It also proves the role of phages in regulating the carbon flow in aquatic systems like oceans, where their concentration outnumbered other species
Simulation of Relay modes in IEEE 802.16j Mobile Multi-hop Relay (MMR) WIMAX Networks
Two different relay modes are defined in IEEE 802.16j WIMAX standard: transparent mode and non-transparent mode. The non transparent mode is used to extend the coverage area of base stations, where low cost relay station of equal capacity as that of base station is placed at suitable position. Time taken to accept mobile stations and Bandwidth allocation are main problems in non transparent mode. In this we have studied the IEEE 802.16j standard multi hop relay WIMAX networks. We have used relay stations to extend the coverage of base stations. We have also analyzed the throughput between mobile stations with in the coverage area and outside coverage area of base stations. We have simulated the IEEE 802.16j transparent and non transparent mode multi hop WIMAX relay networks using NCTUns Too
Analyzing the âWhen of Howâ Phenomena Manifest in Information Systems Research: A Critical Review of Conditional Process Analysis and its Recent Advancements
Conditional process analysis has garnered significant attention as an analytical technique, and the literature has progressed to accommodate intricate combinations of conditional process models. As the field of information systems witnesses a growing use of conditional process models in empirical research, there is a need to develop a shared understanding of the technique to advance theory-building efforts. Considering the significant emphasis on context-specific theorizing in the discipline, we reviewed the techniqueâs application, focusing on publications in the Senior Scholarsâ Basket of Journals. By conducting a critical review of 72 articles published over the past two decades, we identified variations in the techniqueâs application and underscored optimal approaches for scholars to consider. Furthermore, recent advances were deliberated upon. Drawing from the observations and recommendations, we assert that this study is poised to reorient thought processes within the information systems discipline, encouraging the exploration of novel perspectives for richer theorizing in the field
A New Efficient Cloud Model for Data Intensive Application
Cloud computing play an important role in data intensive application since it provide a consistent performance over time and it provide scalability and good fault tolerant mechanism Hadoop provide a scalable data intensive map reduce architecture Hadoop map task are executed on large cluster and consumes lot of energy and resources Executing these tasks requires lot of resource and energy which are expensive so minimizing the cost and resource is critical for a map reduce application So here in this paper we propose a new novel efficient cloud structure algorithm for data processing or computation on azure cloud Here we propose an efficient BSP based dynamic scheduling algorithm for iterative MapReduce for data intensive application on Microsoft azure cloud platform Our framework can be used on different domain application such as data analysis medical research dataminining etc Here we analyze the performance of our system by using a co-located cashing on the worker role and how it is improving the performance of data intensive application over Hadoop map reduce data intrinsic application The experimental result shows that our proposed framework properly utilizes cloud infrastructure service management overheads bandwith bottleneck and it is high scalable fault tolerant and efficien
Causality in Non-Commutative Quantum Field Theories
We study causality in non-commutative quantum field theory with a space-space
non-commutativity. We employ the S-operator approach of Bogoliubov-Shirkov(BS).
We generalize the BS criterion of causality to the noncommutative theory. The
criterion to test causality leads to a nonzero difference between T*-product
and T-product as a condition of causality violation for a spacelike separation.
We discuss two examples; one in a scalar theory and one in the Yukawa theory.
In particular, in the context of a non-commutative Yukawa theory, with the
interaction Lagrangian , is observed to
be causality violating even in case of space-space noncommutativity for which
\theta^{0i}=0.
\Comment: 18 pages, LaTeX; A few changes in sections 3.2,3.3 and
Evaluation of Modal Damping of Graphite/ Epoxy Laminated Composites
The damping of an engineering structure is important in many aspects of noise and vibration control, fatigue endurance and so on, since it controls the amplitude of resonant vibration esponse. Damping in fiber-reinforced composite aterials is highly tailorable with respect to constituent roperties, fiber volume fractions and ply orientation angles.To this end an experimental analysis of the damping of unidirectional graphite reinforced epoxy composites was carried out. Damping characteristics of laminates are analysed
experimentally using impulse technique. Composite laminate were made using the traditional hand-lay
-up process. Experimental dynamic tests were carried out using specimens with different fiber orientations and three different boundary conditions and different thickness
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