456 research outputs found

    Basic Treatment of QCD Phase Transition Bubble Nucleation

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    Starting from the QCD Lagrangian and the surface tension of QCD bubbles we derive the critical size of bubbles, the nucleation probability and the nucleation site separation distance. We find the separation of sites is more than an order of magnitude larger than previous QCD model estimates, which could lead to observable effects.Comment: 8 pages, one figur

    A new approach to feature extraction for RNA structure comparision

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    In recent years, RNA structural comparison becomes a crucial problem in bioinformatics research. Generally, it is a popular approach for representing the RNA secondary structures with arc-annotation sets. Several methods can be used to compare two RNA structures, such as tree edit distance, longest arc-preserving common subsequence (LAPCS) and stem based alignment. However, these methods may be helpful only for small RNA structures because of their high time complexity. In this thesis, we propose a simplified method to compare two RNA structures in O(mn) time, where m and n are the lengths of the two RNA sequences, respectively. The method transforms the RNA structures into specific sequences called object sequences, then compare these object sequences to find their common substructures. The comparison method is tested with 118 RNA structures obtained from RNase P Database. For any two structures, it is important to identify whether they are in the same family by both structure comparison and sequence comparison. In the experiment, it is found that the method for comparing RNA structures can yield better hit rates and is faster than the traditional method to compare the RNA sequences. Therefore, the approach to extract and compare the RNA secondary structures is more sensitive in biology and more efficient in time complexity

    Emergency Rescue: Helping hands for people in city

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    This paper is for public help in critical situation like accident, robbery or any fire accident. In this project, the main motto is to help the people in city through android application. Recent working of systems like police station, hospitals and fire brigade is manual. Through this developed website and android application this system may change to online service. For this user will click photograph from application and send it to nearest system which he required that is either police station or fire brigade or hospital. As while sending photograph the current location of user as well as date and time will also be sent to the particular systems, they does not require much efforts to search those places on map or to ask someone else for enquiry. As system will also have an account on android application so their efforts are again reduced. Not only the whole route but also the shortest route among those routes will be displayed on application screen

    Online Ensemble Model Compression using Knowledge Distillation

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    This paper presents a novel knowledge distillation based model compression framework consisting of a student ensemble. It enables distillation of simultaneously learnt ensemble knowledge onto each of the compressed student models. Each model learns unique representations from the data distribution due to its distinct architecture. This helps the ensemble generalize better by combining every model's knowledge. The distilled students and ensemble teacher are trained simultaneously without requiring any pretrained weights. Moreover, our proposed method can deliver multi-compressed students with single training, which is efficient and flexible for different scenarios. We provide comprehensive experiments using state-of-the-art classification models to validate our framework's effectiveness. Notably, using our framework a 97% compressed ResNet110 student model managed to produce a 10.64% relative accuracy gain over its individual baseline training on CIFAR100 dataset. Similarly a 95% compressed DenseNet-BC(k=12) model managed a 8.17% relative accuracy gain

    Community College Library and Disciplinary Faculty Collaboration Through Critical Global Citizenship Education

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    Higher education institutions (HEIs) have institutionalized global citizenship education (GCE) in response to globalization. Critics caution that current initiatives may perpetuate global inequities and advocate for a critical, multidisciplinary approach to GCE. Despite serving a crucial role in fostering students' critical global consciousness, academic libraries are sidelined from institutional pedagogical engagements. Arising from a need to bridge this divide, this qualitative study explored how U.S. and global library faculty perceive their roles in a globalized world and how they collaborate with disciplinary faculty to cultivate GCE-centered shared learning spaces for students. This dissertation is comprised of three interconnected papers, introduced by an overview chapter, all intended for peer-reviewed publication as separate papers. Data were collected through interviews with library faculty/librarians from U.S., European, and Japanese HEIs, and disciplinary faculty and administrators from a California community college, which served as the research site. Library faculty/librarians identified fostering critically conscious informed global citizens and enhancing students' sense of belonging as their crucial roles, achieved through globalizing library services and collaborating with disciplinary faculty to create GCE-centered shared learning spaces. Library faculty/librarians pinpointed exclusion from teaching as the biggest barrier. Library faculty/librarians and disciplinary faculty both identified narrowly defined roles, academic silos, ego, overwork, and insufficient appreciation, institutional support, financial resources, and professional development as obstacles to collaborating and implementing GCE. Recommendations urge college administrators to demonstrate their commitment to the institution's mission by elevating the library's role within the institution and bolstering collaborative, GCE-centered initiatives through direct financial support and enhanced professional development.https://doi.org/10.46569/jw827k89

    Tail-to-tail carbon-carbon bond coupling of acetylides on chalcogen-bridged Fe/W mixed-metal clusters

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    On thermolysis of a toluene solution containing [Fe3(CO)9(μ3-E)2] (E = S 1a, Se 16 or Te 1c) and [W(η5-C5Me5)2(CO)3(C≡CPh)]2 the new clusters [W2Fe3(η5-C5Me5)2(CO)6(μ3-E)2{μ4-CC(Ph)C(Ph)C}] (E = S 3, Se 4 or Te 5) were isolated. Compounds 3-5 were characterised by IR and 1H, 13C, 77Se and 125Te NMR spectroscopy. The crystal structure of 3 was elucidated by X-ray diffraction methods. It shows a novel tail-to-tail coupling of substituted acetylides on a sulfur-bridged mixed-metal Fe-W cluster
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