3,695 research outputs found

    The Arabidopsis Cytosolic Ribosomal Proteome: From form to Function

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    The cytosolic ribosomal proteome of Arabidopsis thaliana has been studied intensively by a range of proteomics approaches and is now one of the most well characterized eukaryotic ribosomal proteomes. Plant cytosolic ribosomes are distinguished from othe

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    How to Recover a Qubit That Has Fallen Into a Black Hole

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    We demonstrate an algorithm for the retrieval of a qubit, encoded in spin angular momentum, that has been dropped into a no-firewall black hole. Retrieval is achieved analogously to quantum teleportation by collecting Hawking radiation and performing measurements on the black hole. Importantly, these methods only require the ability to perform measurements from outside the event horizon.Comment: 6 pages v2: modified protocol to discuss total angular momentum, corrected typos, added references v3: updated with referee feedbac

    Exploring The Effects Of Multimedia Content On A Question And Answer System

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    Online Question and Answer (Q&A) websites have been a part of the Internet for many years, the most well-known being Yahoo! Answers. These websites allow us to ask and answer questions with other Internet users around the world, utilizing one of the Internet\u27s greatest strengths: information sharing. In the past, this sharing was restricted to primarily text-based content, and previous research has been almost solely devoted to these text-based Q&A systems. This research includes topics such as improving text-based question quality, and methods for finding the best text-based answer. Now, new Q&A systems such as Jelly have recently been released that utilize multimedia, including images, audio, or video for questions and/or answers. These new multimedia features were not part of previous text-based research, and the objective of this project is to fill that research void: how does the use of multimedia in a question affect the odds of receiving the correct answer? Our findings will not only affect this previous Q&A research on question quality and forwarding, but also reveal new security and privacy concerns. To perform our research, we created several different types of multimedia questions, spanning many different topics. We then studied how users answered each question, using our custom MultiQuery website to facilitate the experiment. This website is unique to Q&A in that it allows for many different multimedia question types, not simply text. Once the experiment was completed, we analyzed the results and determined if and to what degree multimedia use in a question improves or worsens the quality of answers; both overall and for each specific topic of questions. We found that multimedia did in fact have a beneficial effect, especially with images, showing a higher answer rating and correctness percentage for most multimedia types. We also found many security and privacy risks from integrating multimedia into a Q&A website, including loss of privacy through image sharing and voice recognition, as well as security dangers to Q&A system owners through illegal, malicious, or explicit uploaded multimedia content. Our analysis and discussion will help future multimedia Q&A systems as they seek to implement the most effective forms of multimedia, will aid future research into multimedia question quality and forwarding algorithms, and will provide recommendations for safer Q&A security practices that account for multimedia

    CEO Characteristics and Compensation in Fortune 100 Companies

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    The existing literature on CEO compensation places heavy emphasis on the interrelationships between educational background and personal experiences of a CEO and how it affects a firm’s performance and, in-turn, how the firm’s performance impacts the CEO compensation. However, there is sparse research on the direct impact that socio-demographic factors and other variables have on CEO compensation. This dissertation’s aim is to identify if socio-demographic factors play a role in how a firm compensates its CEOs by using information gathered from the CEOs of the top Fortune 100 companies. Given the non-random and limited sample, the primary research methods in this dissertation are a detailed literature review followed by descriptive analysis of the variables of interest such as the salary, bonus stock, and total compensation given to CEOs in the Fortune 100 firms from the year 2020. The socio-demographic characteristics such as gender, age, race, experience in the field, educational attainment, educational institution, and whether the individual was a founder of the company were gathered individually using various resources, since this data is not easily available in annual reports of all firms. The other independent control variables such as market value of firm in billions, industry sector to which the firm belongs, and whether the firm is a public company or not were also included in the analyses. The primary finding of the dissertation was that the trends in the compensation variables for CEOs of the Top Fortune 100 firms are consistent, for the most part, with what the literature suggests. Given the small and non-random sample, making large-scale conclusions regarding how all CEOs are compensated would be erroneous. However, one of the most important findings of the analysis is that neither gender nor race play a significant role in the way CEOs are compensated (there is no discrimination). CEOs attending private universities for their highest degree and CEOs that work for consumer product industries tend to have higher compensations than their counterparts. While the study includes linear regressions more as a theoretical construct due to the sample limitations, they do indicate a weak level of causality between some socio-demographic background variables and the compensations of the CEOs. If this type of individual data was collected on larger samples of CEOs and randomized, one can expect a more generalizable result, but this type of data collection can be costly in terms of time and resources. The author concludes that there appears to be some relationship between certain achievement-based socio-demographic variables and the compensation packages which needs to be analyzed further
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