Originally developed for typesetting a high-energy physics PhD thesis, hepthesis is a LaTeX class for typesetting large academic reports,
in particular PhD theses.
For thesis writing, hepthesis offers a number of benefits:
Attractive semantic environments for rubric sections;
Extensive options for draft production, screen viewing & binding-ready output;
Helpful extensions of existing environments, including equation and tabular;
Support for quotations at the start of the thesis (and each chapter).
The example thesis provided with the package has been pre-loaded into Overleaf to help you get started - simply click the button above to create your own version for editing online.
Version Note: This template has been updated to that supplied with the 2014-12-03 update to hepthesis on CTAN, with a further modification in December 2016 to switch the depreciated \bf commands to \textbf commands, to maintain compatibility after the Overleaf TeXLive 2016 upgrade.
The Art, Science, and Engineering of Programming is a new journal created with the goal of placing the wonderful art of programming in the map of scholarly works. Many academic journals and conferences exist that publish research related to programming, starting with programming languages, software engineering, and expanding to the whole Computer Science field. Yet, many of us feel that, as the field of Computer Science expanded, programming, in itself, has been neglected to a secondary role not worthy of scholarly attention. That is a serious gap, as much of the progress in Computer Science lies on the basis of computer programs, the people who write them, and the concepts and tools available to them to express computational tasks.
The Art, Science, and Engineering of Programming aims at closing this gap by focusing primarily on programming: the art itself (programming styles, pearls, models, languages), the emerging science of understanding what works and what doesn’t work in general and in specific contexts, as well as more established engineering and mathematical perspectives.
This is an example of and a guide to writing articles for The Art, Science, and Engineering of Programming.
Motivation: The Neurosky Mindwave device allows monitoring the electrical signals generated by the brains neural activities. The easy access of this devices opens a new area of researching fields not only in the gamification and disable people but also to understand the cognitive behavior of human beings. The purpose of this study is to investigate the consistency and effectiveness level of a non-invasive consumer product BCI. We investigate the output of the headset data both in quality and quantity of that gathered data and determine how it could be used for human involved research settings. A sample of two participants in terms of an interview and an interviewer interchanging questionnaires. The cognitive tasks and EEG output signals captured by the participants both attentive and meditation values.
Results: The data we collected produces mixed results. The meditation or relaxing level provide a consisting output while the attention level need more to explore due to the nature of every individuals and also the surrounds such as noise, mode distraction levels etc.
Keywords: BCI, Brain activity,EEG,NeuroSky, Attention, Meditation
Understanding dating behavior is intrinsically interesting and practically important for every individual in the society. People want to find someone who they want to share stories and emotions, understand and sympathize, commit the rest of life together. Accordingly, people spend a huge part of life finding "the one" or "soul-mate" who they believe potentially maximize their happiness and satisfaction in life. Ironically, they often end up breaking up and saying "He/She was not the right person". Researchers in many areas have studied dating behavior in varying ways to understand why people repeat the vicious circle and still get in there to find the right person. Here, we investigated dating behavior by analyzing relations between multi-aspect variables that include physical and psychological features of individuals and the probability of match in a speed-dating situation. We used theoretical approach and machine learning approach to investigate the pattern of dating behavior and to find the best predictor of match in dataing. For theory driven approach, we used multilevel linear model and multilevel logistic regression. For machine-learning approach, we used learning vector quantization and extreme gradient boosting.