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      <title>ENG 594 Fall 2016 Methods Thesis Statements by </title>
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      <description>Made with good vibes</description>
      <language>en-us</language>
      <pubDate>2016-11-02 18:32:13 UTC</pubDate>
      <lastBuildDate>2016-11-07 17:13:26 UTC</lastBuildDate>
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         <title>Hello!!!!!</title>
         <author></author>
         <link>https://padlet.com/gdfields1/6950k2a1uj4k/wish/134897711</link>
         <description><![CDATA[]]></description>
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         <pubDate>2016-11-02 18:35:16 UTC</pubDate>
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      <item>
         <title>Jisun Myung</title>
         <author></author>
         <link>https://padlet.com/gdfields1/6950k2a1uj4k/wish/134897712</link>
         <description><![CDATA[<div>The article called <em>“Mixing” in the Kitche: Entre Mujeres (“Among Women”) Transclocal Musical Dialogues</em> written by Martha E. Gonzalez is a research paper studying the importance of women’s participation in fandango through ethnomusicological and sociological way. In her article, she explains how she was able to start this research with Fulbright scholarship, what kind of pre-research action she did or didn’t before arriving Xalapa, Mexico. She also mentions the time of research, the location where the research took place, and how she changed the direction of object of research from women only to including their children, and partners. These detailed explanations of the process of her research help the readers to understand better why the author needed to run her research in Mexico with specific participants.</div>]]></description>
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         <pubDate>2016-11-02 18:35:16 UTC</pubDate>
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      <item>
         <title>Board Social Capital and Excess CEO Returns</title>
         <author></author>
         <link>https://padlet.com/gdfields1/6950k2a1uj4k/wish/134898084</link>
         <description><![CDATA[<div>The article “<em>Board Social Capital and Excess CEO Returns</em>” by Sauerwald, Lin, and Peng studies the effect of social capital on CEO returns and its methods section is effective because it is exactly like most other methods sections in articles published in SMJ. That is, they describe the sample and data sourcea for it, define variables, and describe how they analyzed the data. </div>]]></description>
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         <pubDate>2016-11-02 18:36:13 UTC</pubDate>
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         <title>

In the paper “Are mutual funds sitting ducks” by Shive
and Yun on Journal of Financial Economics, it shows that hedge funds make
profits from taking advantage of mutual funds’ liquidity needs when mutual
funds suffer from investor redemption. The authors use traditional datasets
that contain mutual funds and hedge funds stock holdings. Then they develop a
model to track mutual fund flows. Next, they evaluate hedge fund performance
using returns of stocks hedge funds hold. After the model, they use empirical
data to examine their research question. They report their results in the
tables.

</title>
         <author></author>
         <link>https://padlet.com/gdfields1/6950k2a1uj4k/wish/134898102</link>
         <description><![CDATA[<div>-Liwei Weng</div>]]></description>
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         <pubDate>2016-11-02 18:36:15 UTC</pubDate>
         <guid>https://padlet.com/gdfields1/6950k2a1uj4k/wish/134898102</guid>
      </item>
      <item>
         <title>Javad </title>
         <author></author>
         <link>https://padlet.com/gdfields1/6950k2a1uj4k/wish/134898184</link>
         <description><![CDATA[<div>In the article 'comparing passwords, tokens, and biometrics for user authentication', authored by Lawerence O'gorman, the method section does not cover much details which leaves the reader confused with the exact methods used. the author just generally states the usage of qualitative method ( which is a very high level description) and introducea the three comparsion metrics used in the method. On the other hand, there is no discussion about the method limitations and why this research method is justified and effective for this  </div>]]></description>
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         <pubDate>2016-11-02 18:36:28 UTC</pubDate>
         <guid>https://padlet.com/gdfields1/6950k2a1uj4k/wish/134898184</guid>
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      <item>
         <title>In the paper, &quot;The &#39;Is&#39; in What Is Cinema?: &quot;On Andre Bazin and Stanley Cavell&quot;, the author rereads and uses Bazin and Cavell&#39;s article to analyze film realism and ontology.</title>
         <author></author>
         <link>https://padlet.com/gdfields1/6950k2a1uj4k/wish/134898301</link>
         <description><![CDATA[]]></description>
         <enclosure url="" />
         <pubDate>2016-11-02 18:36:46 UTC</pubDate>
         <guid>https://padlet.com/gdfields1/6950k2a1uj4k/wish/134898301</guid>
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      <item>
         <title>Jian &amp;amp; Manqing</title>
         <author></author>
         <link>https://padlet.com/gdfields1/6950k2a1uj4k/wish/134898381</link>
         <description><![CDATA[<div>"Fourier-domain beamforming: the path to compressed ultrasound imaging" is a journal article written by Chernyakova and Eldar. This paper proposed the method that transformed time-domain beamforming into freqeuency domain, and succeeded reducing the sampling rate by 28x. This work was done to solve the problem that the front-end complexity of ADC and the amount of data to be processed are too high for ultrasound imaging systems, since the frequency-domain beamforming method is able to by-pass the requirement of over-sampling needed by traditional time-domain beamforming method. This method contributes to make the hand-held medical B-mode imaging feasible and is able to largely reduce the expense for ultrasound imaging in the future.<br>&nbsp;</div>]]></description>
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         <pubDate>2016-11-02 18:36:57 UTC</pubDate>
         <guid>https://padlet.com/gdfields1/6950k2a1uj4k/wish/134898381</guid>
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      <item>
         <title>TAP: A TLP-Aware Cache Management Policy for a CPU-GPU Heterogeneous Architecture</title>
         <author></author>
         <link>https://padlet.com/gdfields1/6950k2a1uj4k/wish/134898392</link>
         <description><![CDATA[<div>The paper claims that combining CPUs and GPUs on the same chip has become a popular trend. However, there is lacking of a good approach to manage the shared memory resources and to dispatch the shared resources to different computation devices fairly, leading to overall performance degradation. In order to employ heterogeneous computing systems more efficiently, the authors proposed a new algorithm, TAP (TLP-Aware Cache Management Policy), to regulate and dispatch the shared memory storage to different computation units according to the particular execution characteristics of different devices.<br><br>-Shin-Ying<br><br><br><br></div>]]></description>
         <enclosure url="" />
         <pubDate>2016-11-02 18:36:58 UTC</pubDate>
         <guid>https://padlet.com/gdfields1/6950k2a1uj4k/wish/134898392</guid>
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      <item>
         <title>The article, &quot;Predicting
GPU performance from CPU runs using machine learning&quot; written by&amp;nbsp;Ionan Baldini, Stephen J. Fink, Erik Altman discuss building&amp;nbsp;a
predictor using SVM and NGMM, two machine learning algorithms, to predict an application’s
performance on GPU without actually running the application on GPU. During method section, the authors&amp;nbsp;kept throwing the researching questions. By answering those question, the authors reason readers why they chose particular design decisions. However, I think the method section will be better organization if the authors also tried to connect those questions more closely.</title>
         <author></author>
         <link>https://padlet.com/gdfields1/6950k2a1uj4k/wish/134898613</link>
         <description><![CDATA[<div><br>Jhe-Yu</div>]]></description>
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         <pubDate>2016-11-02 18:37:30 UTC</pubDate>
         <guid>https://padlet.com/gdfields1/6950k2a1uj4k/wish/134898613</guid>
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      <item>
         <title>Shrikant Singh: Time Domain Control</title>
         <author></author>
         <link>https://padlet.com/gdfields1/6950k2a1uj4k/wish/134899425</link>
         <description><![CDATA[]]></description>
         <enclosure url="" />
         <pubDate>2016-11-02 18:39:32 UTC</pubDate>
         <guid>https://padlet.com/gdfields1/6950k2a1uj4k/wish/134899425</guid>
      </item>
      <item>
         <title>Saeed</title>
         <author></author>
         <link>https://padlet.com/gdfields1/6950k2a1uj4k/wish/134900390</link>
         <description><![CDATA[<div>The article "do expert reviews affect the demand for wine?", written by Richard Friberg and Erik Gronsqvist, is an academic article in economics that investigates the effect of online reviews on sales. This topic is particularly important because by the advent of internet and its widespread use, customers can impact others' behaviors in the future. The authors have collected a big and novel dataset from the wine market in Sweden and combined it with online reviews from 12 different online sources. They utilized a dif in dif model to solely capture the effect of such reviews, either positive or negative, and also to measure the length of such effects, providing new insight to marketing managers about this phenomenon. The model section is very to the point and concise and the limitations and data restrictions are disclosed. The model extensions though are explained in the result section. At the end of this section, the limitations of model is discussed and the ways for tackling them are suggested. </div>]]></description>
         <enclosure url="" />
         <pubDate>2016-11-02 18:41:59 UTC</pubDate>
         <guid>https://padlet.com/gdfields1/6950k2a1uj4k/wish/134900390</guid>
      </item>
      <item>
         <title>In
the paper &quot;Mind Wandering During Learning 
with an Intelligent Tutoring System &quot; written by  &quot;Caitlin Mills, Sidney D’Mello, Nigel
Bosch, and Andrew M. Olney&quot;, methods section discusses how they tested the
mind wandering in GuruTutor when students with no biology background learn
biology where the authors discussed in great detail about the system of
experimentation and experimental procedure however they have not provided
enough information on the analysis and evaluation procedure. The effectiveness
of the method is debatable because they are doing any filtering mechanism to
filter out the responses that are incorrectly reported and include the instances
that are not reported.</title>
         <author></author>
         <link>https://padlet.com/gdfields1/6950k2a1uj4k/wish/134901770</link>
         <description><![CDATA[<div>Anil</div>]]></description>
         <enclosure url="" />
         <pubDate>2016-11-02 18:45:52 UTC</pubDate>
         <guid>https://padlet.com/gdfields1/6950k2a1uj4k/wish/134901770</guid>
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