Goals proposal description

The Project Description is typically divided into three main sections (table 11.3). The first main section introduces project goals and importance (chapter 12). The second section describes the experimental approach (chapter 13). The third section summarizes project outcomes and impacts (chapter 14). Each main section (and corresponding chapter) is organized by moves. The major moves are listed in table 11.3, along with headings that authors commonly use in their proposals to signal these moves. (Note For instructional purposes, we have reformatted the headings in proposal excerpts included in this module to conform to style 1, as depicted in table 11.3.)... 

Project Summary. In one page or less, write a summary, suitable for publication, of proposed activities. It should not be an abstract of the proposal but rather a self-contained description of the proposed work. The summary should be written in the third person and include descriptions of (i) the goals and objectives of the project, (2) the importance of the project, (3) the proposed methods, and (4) the broader impacts of the work, it should be written for a scientifically literate reader, but not necessarily an individual in your field or discipline. 

This chapter focuses on writing the first section of the Project Description. The central purposes of this section are to identify project goals and objectives, highlight the importance of the research, provide relevant background information, and introduce the proposed research. By the end of this chapter, you should be able to do the following ... 

Many, but not all. Project Descriptions begin with a short overview of project goals and objectives. Some Requests for Proposals (RFPs) require this explicitly, but many Project Descriptions start this way even if not required (e.g., 16 of the 22 CAREER proposals cited in this textbook begin by stating the goals and objectives of the proposed work). The purpose of this move is to highlight expected... 

Let s examine this move in authentic proposals. In most proposals, the first sentence, immediately after the major division title (e.g.. Project Description), states the overall goal of the proposed research (e.g., The goal of this proposed research is to... ). Words like long-term, overarching, ultimate, or overall often precede the word goal, to denote that the goal is broad in scope and may take several years... 

The search for meaningful trends in chemical reactivity and their correlation with molecular parameters is one of the fundamental goals of physical organic chemistry. A wealth of data on rates of organic reactions has been gathered over the years to provide experimental support for the proposed basic mechanisms. On the theoretical side, qualitative and empirical description has given way to sophisticated methods for calculations of chemical reactivity which allow for a dynamic interplay between theory and experiment. 

We continue our study of chemical kinetics with a presentation of reaction mechanisms. As time permits, we complete this section of the course with a presentation of one or more of the topics Lindemann theory, free radical chain mechanism, enzyme kinetics, or surface chemistry. The study of chemical kinetics is unlike both thermodynamics and quantum mechanics in that the overarching goal is not to produce a formal mathematical structure. Instead, techniques are developed to help design, analyze, and interpret experiments and then to connect experimental results to the proposed mechanism. We devote the balance of the semester to a traditional treatment of classical thermodynamics. In Appendix 2 the reader will find a general outline of the course in place of further detailed descriptions. 

A report is given about a program that proposes many-step syntheses for a given organic compound, without interacting with the user after the initial description of the problem. The problem description includes the structure of the desired goal molecule, complete with chirality, the maximum number of steps for an acceptable synthesis and the minimum overall yield required. Optionally, the problem description may also include... 

A description of alternative approaches that could substantially achieve the same regulatory goal at lower cost, together with an analysis of this potential benefit and costs and a brief explanation of the legal reasons why such alternatives, if proposed, could not be adopted and... 

The primary goal in using perfusion based microfluidic cell culture chips is to achieve a high degree of control over the microenvironment that the cultured cells are exposed to, i.e. to create a microenvironment that resembles the one cells are exposed to in vivo. In order to illustrate the difference between traditional culture vessels and perfusion based microfluidic cell culture chips, an effective culture volume (ECV) has been proposed as a descriptive concept [4]. ECV is a combined function of the characteristic mode of mass transfer (convection or diffusion), the magnitude of the mass transfer in all directions (x, y, z) in space (Fig. 2) as well as the extent of protein adsorption to the surfaces in a system. In vivo systems, e.g. tissue as part of an organ, are characterized by a fluid volume that is comparable to the volume of the cells in the tissues as well as by diffusive mass transfer. Based on these features the ECV of in vivo systems is small. 

Abstract. Recent research has made clear the exceptional importance of spectropolarimetry in the study of physical conditions in atmospheres and circumstellar envelopes of different kinds of stars, in galactic nuclei and to obtain knowledge about interstellar matter. The goal of this brief review is to illnstrate the field with several examples and to present new revelations made nsing gronnd-based spectropolarimetry with large telescopes. I conclude with a short description of a newly proposed spectropolarimeter for the WSO/UV mission. 

The characterization of complexity cannot be univocal and must be adequate for the type of structure or process we study, the nature and the goal of the description we want, and the level or scale of the observation that we use. In the same way it is interesting to combine the properties of the new proposals to characterize complexity and test them on diverse and known physical systems or processes. Fundamental concepts such as information or entropy are frequently present in the proposals for characterizing complexity, but some other ingredients that do not only capture uncertainty or randomness can also be searched. One wishes also to capture some other properties such as clustering, order or organization of the systems, or process. Some of the definitions and relations between the above concepts are not clear even less so is how disorder or randomness takes part in the aforementioned properties of the system and vice versa. 

After behavioral synthesis, a transformed and optimized flow graph is available, which still does not include any explicit structural information (except module-type proposals for background memory and constraints specified in the input description). The goal of the consecutive structural synthesis process is to transform this flow graph information into an actual implementation that can be executed on the ASIC emulator board. The main steps to be carried out are scheduling, allocation, and binding. The results will again be illustrated by means of the DHRC-benchmark. 

Concept Phase. During the concept phase of the life cycle, overall project goals and objectives are identified and developed. Project descriptions, design requirements, and expected end results are also formulated. In effect, the concept phase establishes a project roadmap to provide direction and purpose to the proposed project. A loosely translated Chinese proverb provides a very good justification for the elements of the concept phase if you don t know where you are going, any road will take you there A properly executed concept phase will not only identify the project destination but also keep it on the desired track through completion. 

With the advancement of a curing reaction, the of the resin will increase, but the goal is to quantitatively predict the of a resin as a function of cure conversion. Several models have been proposed to correlate the with the conversion or extent of curing (a). With the increase in conversion, the concentration of reactive functionalities decreases, and crosslinks or junction points are formed, leading to the departure from Gaussian behaviour. Steric hindrance affects chain conformation at high crosslink densities. The models are based on the statistical description of network formation and calculation of the concentration of jrmction points of different functionalities as a function of conversion. However, one issue that complicates the calculation and which is not fully resolved is whether to consider all the junction points or only those which are elastically effective. 

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