9,307 research outputs found

    An Investigation of Crash Avoidance in a Complex System

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    Complex systems can exhibit unexpected large changes, e.g. a crash in a financial market. We examine the large endogenous changes arising within a non-trivial generalization of the Minority Game: the Grand Canonical Minority Game (GCMG). Using a Markov Chain description, we study the many possible paths the system may take. This 'many-worlds' view not only allows us to predict the start and end of a crash in this system, but also to investigate how such a crash may be avoided. We find that the system can be 'immunized' against large changes: by inducing small changes today, much larger changes in the future can be prevented.Comment: 12 pages, 6 figures. Revised version of previous paper to appear in Physica

    Application of multi-agent games to the prediction of financial time-series

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    We report on a technique based on multi-agent games which has potential use in the prediction of future movements of financial time-series. A third-party game is trained on a black-box time-series, and is then run into the future to extract next-step and multi-step predictions. In addition to the possibility of identifying profit opportunities, the technique may prove useful in the development of improved risk management strategies.Comment: Work presented at the NATO Workshop on Econophysics. Prague (Feb 2001). To appear in Physica

    Screen Fatigue and how AI can Assist

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    Screen Fatigue and how AI can Assist As a society, we are all too aware of the sudden and significant evolution of the higher education environment; classrooms that once consisted of only desks, chairs, and chalkboards in a brick-and-mortar auditorium have now largely become part of the technological landscape. We are also frequently reminded of the negative consequences of the online learning format - obesity, sleep problems, chronic neck and back issues, and Zoom fatigue, among others. However, another relatively new existence now contributes to the distance learning format - Artificial Intelligence or “AI.” In addition to its academic applications, AI allows for personalized learning experiences, for example, that allow for analysis of specific learning patterns that eliminate a one-size-fits-all approach to education. In addition, AI-driven emotional support systems have created safe spaces for students to express their feelings and concerns. These and many other AI-powered tools are now available and can significantly improve the mental health of distance learners by promoting a sense of security and reducing feelings of isolation. The positive influences of AI on the mental health of e-learners are undeniable. We look forward to sharing even more ideas about how this new technology has the power to positively affect the mental health and well-being of members of today\u27s academic community

    The Urgency to Train Online Instructors

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    Coronavirus (COVID-19) has redefined the manner in which those seeking advanced degrees will succeed in the academic arena. Due to the effectiveness of learning in the traditional brick-and-mortar classroom, a certain sense of complacency exists but suddenly, learners are forced to alter that established learning path and arrive at new methods of acquiring information. Alongside the COVID-19 attack, the modern era of academia calls for the need and desire to learn in online, distance education learning programs. Long distance teaching programs are designed to rely upon the abilities of technology to facilitate effective communication as well as the sharing of information, human interaction, and knowledge building for those post-baccalaureate learners. In order for this process to occur, educators must be adequately trained to ensure successes on the parts of their students but it has been reported by many that such training is not typical of course room preparation and design. Limited information exists about “teaching teachers” to become online instructors, to construct their course rooms for student success, to become knowledgeable and skilled at using online technology, or how to overcome limitations that exist with many classroom devices. Online instructors find themselves questioning whether they have provided ample opportunity for learners to interact with one another, for learners to see their instructors as accessible and transparent, and ultimately to utilize the technology they have been presented. Many distance educators report that they are inexperienced in such a program, are untrained and ill-prepared for the online teaching experience, and ultimately worry about the imminent effects on their students. In the end, despite the need and desire for long-distance education, the issue of “teaching online instructors to effectively teach” remains a paramount concern

    REQUIREMENTS FOR PROLONGED SUPPRESSION OF AN IDIOTYPIC SPECIFICITY IN ADULT MICE

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    The appearance of an idiotypic specificity, present in anti-p-azophenylarsonate (anti-Ar) antibodies of all immunized A/J mice, ran be suppressed in adult mice by prior administration of an IgG fraction of rabbit antiidiotypic (anti-D) antiserum; anti-Ar antibodies arise but are of different idiotype. Prolonged suppression was observed in earlier experiments, but antigen was first administered to adult mice only 2 wk or 9 wk after anti-D antibodies; subsequent escape from idiotypic suppression could have been masked by the capture of antigen by large numbers of memory cells having receptors of a different idiotype. In the present experiments antigen was first administered at intervals up to 22 wk after the antiidiotypic antibody. Suppression was maintained for 6 wk in all mice and for 5 mo in about half the mice tested. It thus appears that suppression of idiotype is less reversible if antigen is administered soon after the antiidiotypic antibody. The data suggest that escape from suppression is attributable to the generation of new precursor cells rather than to reactivation of suppressed cells. The minimum dosage of antiidiotypic IgG required for effective suppression was about 2 mg. The subcutaneous or intraperitoneal routes of inoculation of antiidiotypic IgG were equally effective. When antiidiotypic antibody was administered 3 days after antigen no suppressive effects were observed. There was partial suppression when antiidiotypic antibody was injected on the same day as the antigen. Fab' and F(ab')2 fragments of antiidiotypic IgG had no suppressive effect. Quantitative measurements revealed no significant differences among control and suppressed mice with respect to total concentration of precipitable anti-Ar antibodies produced

    Normal sleep bouts are not essential for C. elegans survival and FoxO is important for compensatory changes in sleep

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    Additional file 6: Decreased lag-2 function does not slow vulval development. The progeny of wild type and lag-2(q420) animals raised at 25.5 °C were selected at the L4 stage, prior to lethargus entry. Vulval eversion was scored after 3 h; the percentage of animals completing vulval eversion was recorded. Significance was assessed by student’s two-tailed t-test p value < 0.5; error bars represents SEM from 3 trials. Total number of animals: wild type n = 45 and lag-2(q420) n = 42

    A perspective on the FAA approval process: Integrating rotorcraft displays, controls and workload

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    The FAA is responsible for making the determination that a helicopter is safe for IFR operations in the National Airspace System (NAS). This involves objective and subjective evaluations of cockpit displays, flying qualities, procedures and human factors as they affect performance and workload. After all of the objective evaluations are completed, and all Federal Regulations have been met, FAA pilots make the final subjective judgement as to suitability for use by civil pilots in the NAS. The paper uses the flying qualities and pilot workload characteristics of a small helicopter to help examine the FAA pilot's involvement in this process. The result highlights the strengths of the process and its importance to the approval of new aircraft and equipments for civil IFR helicopter applications. The paper also identifies opportunities for improvement

    Panel Remarks on Regulating Genetically Modified Foods in the United States

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    Thank you all. In my opinion, containment of pharmaceutical GM crops is essential and hard to do. The USDA just recently came up with some new guidelines for genetically modified pharm plants, but how can the public have an input into what’s going on if they don’t even know where the crops are growing, or what’s in the crops, because this is protected as confidential business information? Should the public have a say? How would we accomplish--giving the public a say about whether they want genetically engineered wheat, even aside from the export issues. Third, I understand GE salmon is very close to being approved and released. That’s a containment issue of another kind. The fourth issue is that there are all kinds of organisms that don’t even fall under EPA, USDA, or FDA jurisdiction, such as GE mosquitoes, and so forth. So, is there some way that you would want to propose changes to the regulations that would help bring the public into the debate? A couple minutes each
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