35 research outputs found
Comics and Graphic Novels with Dr. Jarod Roselló
No full textJennifer Slagus and Josh Palange explore the world of comics and graphic novels with author Dr. Jarod Roselló. They highlight the value of graphic novels for young readers and discuss how these works are often perceived in comparison to traditional prose books. Dr. Roselló shares his journey as an author and cartoonist working with comics, emphasizing the scarcity of graphic novel-focused creative programs at the university level and the relationship between academia and comics. He also discusses his experience collaborating with publishers on his graphic novel series Red Panda & Moon Bear, and the challenges of marketing a book from an artist\u27s perspective
Preliminary investigation of an autonomous control system for the MIT Graphite Exponential Pile
No full textThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Thesis: S.B., Massachusetts Institute of Technology, Department of Nuclear Science and Engineering, 2019Cataloged from PDF version of thesis.Includes bibliographical references (pages 69-70).Commercial nuclear technology today is facing challenges due to both economic viability and concerns over safety. Next-generation reactors could potentially improve with respect to both concerns through recent advancements in computation and machine learning, through autonomous control systems which minimize human error. The MIT Graphite Exponential Pile (MGEP) has been selected as the basis of a realworld demonstration of such a system, because of its simple properties and inherent safety. This study evaluated the preliminary feasibility of an autonomous control system for the MGEP through two parallel avenues; a practical investigation of various machine learning algorithms applied to fission systems, as well as the design and fabrication of a control rod for the pile. It was found that Convolutional Neural Networks (CNNs) outperform Support Vector Regression (SVR) in predicting the MITR power-shape. Additionally, acceptable results were achieved when applying the CNN algorithm to the MGEP to predict the flux distribution of its fuel elements. Finally, it was verified that neutron detectors in the pile respond predictably to control rod insertions. Taken together, the groundwork for the further development of an autonomous control system has been laid, and the path forward is promising.by Jarod Wilson.S.B.S.B. Massachusetts Institute of Technology, Department of Nuclear Science and Engineerin
Melting Point Predictions of Thermally Stable Ionic Liquids using a Machine Learning Approach
No full textThermally robust ionic liquids hold promise as high-temperature solvents, heat transfer fluids, and high-performance lubricants. These ionic liquids, inspired by thermoplastics like PEEK and PES, incorporate peraryl functional groups that lend them high thermal stability, however they often have melting points greater than 100 °C. A broad liquid range is usually desirable in most applications, so finding thermally robust ILs with lower melting points would significantly enhance their applicability. In this study, machine learning models are developed to make predictions of melting points for these thermally stable ionic liquids using a process called quantitative structure-property relationships (QSPR). The methodology used to model these ionic liquids was adapted from a previous study that examined multiple different machine learning techniques in depth. Modeling was performed on the large and diverse set of 929 ionic liquids from this study, then on a set of 53 thermally stable ionic liquids, then on the combined data set. The performance of each model was evaluated using 10-fold cross validation and the calculation of Q2, which measures the predictive capacity of the model. This cross validation only considered the predictions of thermally stable ionic liquids since that is the overall intent of the modelling. From this cross validation, it was found that the model trained on both sets of data and had no outliers removed showed the greatest predictive capability (with a Q2 of .677) for thermally stable ionic liquids. This model is then used to predict ionic liquids from the thermally stable family with low melting points.https://jagworks.southalabama.edu/honors_college_posters/1013/thumbnail.jp
Melting Point Predictions of Thermally Stable Ionic Liquids Using a Machine Learning Approach
No full textThermally robust ionic liquids hold promise as high temperature solvents, heat transfer fluids, and high-performance lubricants. These ionic liquids, inspired by thermoplastics like PEEK and PES, incorporate peraryl functional groups that lend them high thermal stability, however they often have melting points greater than 100 °C. A broad liquid range is usually desirable in most applications, so finding thermally robust ILs with lower melting points would significantly enhance their applicability. In this study, machine learning models are developed to make predictions of melting points for these thermally stable ionic liquids using a process called quantitative structure-property relationships (QSPR). The methodology used to model these ionic liquids was adapted from a previous study that examined multiple different machine learning techniques in depth. Modeling was performed on the large and diverse set of 929 ionic liquids from this study, then on a set of 53 thermally stable ionic liquids, then on the combined data set. The performance of each model was evaluated using 10-fold cross validation and the calculation of Q2, which measures the predictive capacity of the model. This cross validation only considered the predictions of thermally stable ionic liquids since that is the overall intent of the modelling. From this cross validation, it was found that the model trained on both sets of data and had no outliers removed showed the greatest predictive capability (with a Q2 of .677) for thermally stable ionic liquids. This model is then used to predict ionic liquids from the thermally stable family with low melting points
Carter G. Woodson and Thomas Jesse Jones: a comparative study in race and philanthropy, 1915-1921, 2003
No full textThis thesis examines the controversial relationship between contemporaries Carter G. Woodson, founder and director of the Association for the Study of Negro Life and History and Thomas Jesse Jones, chief executive of the Phelps-Stokes Fund. This comparative study considers the life and work ofboth Woodson and Jones and assesses their contributions to African-American history, philanthropy, and race relations. Their relationship is interpreted through close examination and analysis of various writings, conflicting ideologies, and public accusations against one another. The conclusions drawn suggest that white foundation officials, often under the auspices ofracial cooperation, manipulated the policies ofblack institutions and organizations. This evaluation provides a more thorough understanding ofthe historic and contentious struggle that often occurred between the giver and the recipient during the early twentieth century
Measuring the Effects of "Adults Only" Age Restrictions on Condominium Prices
No full textCurrent U.S. housing policy prohibits discrimination in the sale or rental of housing or in the provision of brokerage services on the basis of race, color, religion, sex, national origin, disability, or familial status. Since 1988, an exception to this policy has permitted owners and operators of buildings and facilities that were intended to be operated as housing for older persons to discriminate against younger residents, including families with children and pregnant women, without violating the nation's fair housing laws. This exception was clarified by the Housing for older persons. The purpose of this study is to consider whether such restrictions have a measurable effect on housing prices. Based on data from condominium transactions in southeast Florida, the results presented here suggest that age restrictions have a positive price effect, holding other determinants of condominium prices constant.
A Tale of Two Waivers: Waiver of the Jury Waiver Defense Under the Federal Rules of Civil Procedure
No full textThis article discusses contractual jury waivers, demanding a jury trial and striking a jury demand under the Federal Rules of Civil Procedure, and waiver of the jury waiver defense under the Federal Rules of Civil Procedure. The author contends that the Federal Rules of Civil Procedure require an early pleading of the jury waiver defense in the pretrial stage of litigation; failing to plead the defense risks waiver
Justice or Vengeance: How Young Is Too Young for a Child to Be Tried and Punished as an Adult
No full textThe article explores the complexities of determining the appropriate age for transferring juveniles to adult criminal courts under Texas law. It examines the balance between protecting society from violent juvenile offenders and recognizing the developmental differences between children and adults. The author discusses the legal framework governing juvenile transfers, including the discretionary factors courts consider, such as maturity, sophistication, and the nature of the offense. The article also highlights the constitutional protections afforded to juveniles and the potential long-term consequences of treating them as adults in the criminal justice system. Ultimately, it questions whether the current legal standards adequately address the unique circumstances of young offenders while ensuring justice and public safety
Hot topics of debate on Turner syndrome: growth, puberty, cardiovascular risks, fertility and psychosocial development
No full textThis eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contac
SOX, Statutory Interpretation, and the Seventh Amendment: Sarbanes-Oxley Act Whistleblower Claims and Jury Trials
No full textThe Sarbanes-Oxley Act was passed in response to corporate fraud and cover ups; employees who discovered the fraudulent practices were reluctant to report the practices to the federal authorities due to lack of legal protections for whistleblowers. The Sarbanes-Oxley Act contains provisions to protect corporate whistleblowers and provides for civil and criminal penalties against those who retaliate. Congress authorized private right of action suits in federal court for such situation but did not explicitly state whether the right to a jury trial was included. This article discusses the statutory meaning and interpretation of the Act and whether the Seventh Amendment applies in these situations. The author concludes with the assertion that jury trials should be available for Sarbanes-Oxley suits, that the jury should decide questions of fact, and that the judge should decide questions of law
