Beijing University of Aviation and Space Technology 141029

Jeffrey Robens, PhDSenior Research Consultant

Education Group Leader

Beihang University29 October 2014

download: liwenbianji.cn/BUAA_2014

Author Academy: Effectively Communicating your Research

Be an effective communicator

Your goal should not only to be published, but also to be widely read/cited

Good research design

Choose the best journal

Logically organize your ideas

Navigate through peer review

Section 1

Good experimental design


Customer ServiceAcademic PublishingResearch design What do journal editors want?

Increase impact

High quality research

Interesting to journal’s readership

Original and novel research Well-designed study

Logically organizedReal-world applications

Customer ServiceAcademic PublishingResearch design

Real-world relevance

Technical quality

Novelty Develop material that can withstand colder-than-published temperatures

What do journal editors want?

Customer ServiceAcademic PublishingResearch design

Real-world relevance

Technical quality

Novelty

What do journal editors want?

Develop new material that can withstand cold temperature, high

salinity and high pressure

Customer ServiceAcademic PublishingResearch design Research that has impact

1. Read primary literature

2. Read reviews

3. Identify an important question

• Is the question focused?• Do you have the expertise/resources?• What is new?• How is it useful?

Customer ServiceAcademic PublishingResearch design Publication ethics

Conflicts of interest

Plagiarism

Author contribution

Data fabrication or falsification

Consequences of unethical behavior

• Unable to publish• Loss of employment

Journal selection

Section 2


Reading StrategiesJournal selection Evaluating significance

How new are your findings?Low or high impact journalNovelty

How broadly relevant are your findings?International/regional & general/specializedRelevance

What are the important real-world applications?Appeal

Reading StrategiesJournal selectionFactors to consider

when choosing a journal

Aims & scope Readership

Open access

Which factor is most important to you?

Impact factorIndexing

Reading StrategiesJournal selection

Insert your proposed abstract

Journal Selectorwww.liwenbianji.cn/journal_selector


Matching journals

Filter by:• Impact factor• Publishing frequency• Open access



Journal’s aims & scope, IFand publication frequency

Are they published recently? Have you cited some of them?

Similar published articles


Manuscript structure

Section 3


Coverage and Staffing PlanManuscript

structureManuscript

structure Introduction

Setting the context

Specific aimsAims

General problem

Problems with current solutions


structureManuscript

structure

Two-dimensional layered semiconducting chalcogenides (such as MoS2) have attracted attention due to their having an intrinsically high carrier mobility, mechanical flexibility, and a finite bandgap. However, improvements for MoS2 transistors have been hampered by the presence of a Schottky barrier…

However, conventional thin-film materials limit the use of such thin-film transistors in flexible backplane-circuitry due to their fragility and relatively low mobility.

Writing the Introduction

Problem in the field

Lee et al. J Korean Phys Soc 2014; 64: L945–L948.

Problems with current solution

Identify an important problem


structureManuscript

structure

In this research, we investigated the high-temperature electrical behavior of a MoS2 transistor with a high Schottky barrier…High temperature leads to a larger thermionic emission that transports electrons over the energy barrier.

Aims

Writing the Introduction

Your aims should address the identified problem

Propose a solution to the problem



structureManuscript

structureMethods/

Experimental

How it was done

General methodsSpecific techniques

ModelsEquations

Simulations

What was used

MaterialsSoftware/hardware

specifications

How it was analyzed

Study design


structureManuscript

structure Results

1. Fabrication2. Characterization3. Application

Logical presentation

Example:1. Develop new soldering process to better withstand

mechanical shock2. Characterize the types of shock, the severity of

shock, SEM, compare with current processes3. Demonstrate this process is efficient and cost-

effective


structureManuscript

structure Results

1. Fabrication2. Characterization3. Application

Each subsection corresponds to

one figure

What you found, not what it means


Subsections

Factual description


structureManuscript

structure Discussion

Summary of findings

Relevance of findings

Implications for the field

Similarities/differencesUnexpected resultsNegative resultsLimitations


structureManuscript

structureResults and Discussion

ResultsInterpretation

Figure 1


Figure 2


Figure 3


Figure 4

Fabrication


Characterization

Application


structureManuscript

structure

The simulation of the non-linear behaviour of the composite materials is an open problem because of the complex phenomena that occur at the microscale level. The random distribution of defects in the matrix makes difficult to evaluate the effect of their interactions. For this reason, composite models with periodic distribution of heterogeneities are adopted in order to understand basic aspects of the composite non-linear behaviour. In this paper, a new method is presented for micromechanical finite elementanalysis of unidirectional composites according to the second approach. The numerical analysis of the infinitely extended periodic composite is performed on a small part of it, namely half of the unit cell, making the method efficient in terms of processing time. The proposed method results especially effective in time-dependent analyses and can be easily used in commercial FEM software: with respect to other methods available in literature, it requires only the setting of suitable boundary conditions for half of the unit cell, without modifying the software source code.

Conclusions

Why needs to be done

Conclusion

Why your work is important to your readers

Caporale & Luciano. Ann Solid Struct Mech. 2010; 1: 117–137.

Implications


structureManuscript

structure Linking your ideas

General background

Objectives

Methodology

Results and figures

Summary of findings

Implications for the field

Relevance of findings

Problems in the field

Logically link your ideas throughout your manuscript

Current state of the fieldIntroduction

Methods

Results

Discussion


structureManuscript

structure Linking your ideas

However, improvements for MoS2 transistors have been hampered by the presence of a Schottky barrier…

In this research, we investigated the high-temperature electrical behavior of a MoS2 transistor with a high Schottky barrier…

…a high-performance 2D multilayer MoS2 transistor having a zero or slightly negative Schottky barrier can be realized.

Problem

Objectives

Conclusion

Discussion

Introduction



structureManuscript

structure Abstracts

First impression of your paper

Importance of your results

Validity of your conclusions

Relevance of your aims

Judge your writing style

Probably only part that will be read


structureManuscript

structureSections of an abstract

Aims

Background

Methods

Results

Conclusion

Why the study was done

Your hypothesis

Analyses

Most important findings

Conclusion/implications

Concise summary of your research

Publisher Adaptations

Unstructured abstract

Antilock braking systems are designed to control the wheel slip, such that the braking force is maximized and steerability is maintained during braking. However, the control of antilock braking systems is a challenging problem due to nonlinear braking dynamics and the uncertain and time-varying nature of the parameters. This paper presents an adaptive neural network-based hybrid controller for antilock braking systems. The hybrid controller is based on the well-known feedback linearization, combined with two feedforward neural networks that are proposed so as to learn the nonlinearities of the antilock braking system associated with feedback linearization controller. The adaptation law is derived based on the structure of the controller, using steepest descent gradient approach and backpropagation algorithm to adjust the networks weights. The weight adaptation is online and the stability of the proposed controller in the sense of Lyapunov is studied. Simulations are conducted to show the effectiveness of the proposed controller under various road conditions and parameter uncertainties.

Poursamad A. Mechatronics 2009; 19: 767–773.

Publisher Adaptations

Unstructured abstract

ConclusionSimulations are conducted to show the effectiveness of the proposed controller under various road conditions and parameter uncertainties.

Results

The hybrid controller is based on the well-known feedback linearization, combined with two feedforward neural networks that are proposed so as to learn the nonlinearities of the antilock braking system associated with feedback linearization controller. The adaptation law is derived based on the structure of the controller, using steepest descent gradient approach and backpropagation algorithm to adjust the networks weights. The weight adaptation is online and the stability of the proposed controller in the sense of Lyapunov is studied.

MethodsThis paper presents an adaptive neural network-based hybrid controller for antilock braking systems.

BackgroundAntilock braking systems are designed to control the wheel slip, such that the braking force is maximized and steerability is maintained during braking. However, the control of antilock braking systems is a challenging problem due to nonlinear braking dynamics and the uncertain and time-varying nature of the parameters.


Publisher Adaptations Writing your abstract

Antilock braking systems are designed to control the wheel slip, such that the braking force is maximized and steerability is maintained during braking. However, the control of antilock braking systems is a challenging problem due to nonlinear braking dynamics and the uncertain and time-varying nature of the parameters. This paper presents an adaptive neural network-based hybrid controller for antilock braking systems. The hybrid controller is based on the well-known feedback linearization, combined with two feedforward neural networks that are proposed so as to learn the nonlinearities of the antilock braking system associated with feedback linearization controller. The adaptation law is derived based on the structure of the controller, using steepest descent gradient approach and backpropagation algorithm to adjust the networks weights. The weight adaptation is online and the stability of the proposed controller in the sense of Lyapunov is studied. Simulations are conducted to show the effectiveness of the proposed controller under various road conditions and parameter uncertainties.

Why the study needs to be done

What was done

What was found

How helps advance the field


Peer review

Section 4


Peer review What reviewers are looking for

The study

The manuscript

Relevant hypothesis Good study design Appropriate methodology Good data analyses Valid conclusions

Logical flow of information Manuscript structure and formatting Appropriate references High readability

Peer review Writing response letters

Read by the journal editor, not the reviewers

Respond to every reviewer comment

Easy to see changes

Refer to line and page numbers

Use a different color font

Highlight the textHighlight the text

Peer review Agreeing with reviewers

Agreement

RevisionsLocation

Reviewer Comment: In your analysis of the data you have chosen to use a somewhat obscure fitting function (regression). In my opinion, a simple Gaussian function would have sufficed. Moreover, the results would be more instructive and easier to compare to previous results.

Response: We agree with the reviewer’s assessment of the analysis. Our tailored function, in its current form, makes it difficult to tell that this measurement constitutes a significant improvement over previously reported values. We describe our new analysis using a Gaussian fitting function in our revised Results section (Page 6, Lines 12–18).

Peer review

Reviewer Comment: In your analysis of the data you have chosen to use a somewhat obscure fitting function (regression). In my opinion, a simple Gaussian function would have sufficed. Moreover, the results would be more instructive and easier to compare to previous results.

Response: Although a simple Gaussian fit would facilitate comparison with the results of other studies, our tailored function allows for the analysis of the data in terms of the Smith model [Smith et al., 1998]. We have now explained the use of this function and the Smith model in our revised Discussion section (Page 12, Lines 2–6).

Evidence

Revisions

Location

Disagreeing with reviewers

Peer review

Reviewer comment: Currently, the authors’ conclusion that their new material is suitable for all tropical conditions is not completely valid because they only evaluated its efficiency in Asia. This material should also be tested in other tropical regions in Africa and/or South America.

“Unfair” reviewer

comments

Reasons why reviewers might make these comments Current results are not appropriate for the scope or the

impact factor of the journal

Reviewer is being “unfair”

Peer review

What you should do

First, contact the journal editor if you feel reviewer is being unfair

Do the experiments, revise, and resubmit

Withdraw submission and resubmit current manuscript to a lower impact factor journal

“Unfair” comments

Be an effective communicator

Your goal should not only to be published, but also to be widely read/cited

Good research design

Choose the best journal

Logically organize your ideas

Navigate through peer review

谢谢！

Any questions?

下载完整版 PDF讲义liwenbianji.cn/BUAA_2014

Jeffrey Robens: [email protected]

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Beijing University of Aviation and Space Technology 141029

Education

high pressure

high carriermobility

readcited good research

high impact journalnoveltyhow

new material

good experimental design

significancehow new

important question