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International Symposium on Autonomous Decentralized Systems (ISADAS)

作者： Heverson Borba Ribeiro Lau Cheuk Lung Altair Olivo Santin Neander Larsen Brisola Graduate Program in Applied Computer Science-PPGIA Pontifical Catholic University of Paraná Curitiba Brazil

This paper presents a decentralized infrastructure, called Web2Peer, which makes Web pages available on Internet through P2P networks. Different from the conventional Web, the proposed approach does not need, for instance, a HTTP address or a central Web Server. Web2Peer provides a set of functions for publishing, locating, and replicating Web pages on Internet ensuring high availability and fault tolerance. Our infrastructure allows anyone who has a computer connected to the Internet, even through a domestic ADSL connection, to publish Web pages through their own machines without any additional cost

关键词： Peer to peer computing Publishing Web pages Internet Web server IP networks Availability Costs Web sites Network servers

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Enhancements to a retention program for women engineering technology students by the addition of a social support network and community building activities

Enhancements to a retention program for women engineering te...

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2009 ASEE Annual Conference and Exposition

作者： Dell, Elizabeth Christman, Jeanne Wolcott, Teresa Valentine, Maureen Department of Manufacturing and Mechanical Engineering Technology Rochester Institute of Technology United States Department of Electrical Computer and Telecommunications Engineering Technology Rochester Institute of Technology United States Department of Computer Engineering Technology Program WIT in the Civil Engineering Technology program RIT South Africa College of Applied Science and Technology Rochester Institute of Technology United States

This paper describes a low-cost, successful program to help retain female Engineering Technology students with the ultimate goal of increasing the number of female graduates of our Engineering Technology programs. This program was started in 2003. The programming initially focused on academic support in the form of tutoring, formation of study groups and reimbursement for academic laboratory kits. This program did improve retention, but a survey of our students found that they also desired social support and opportunities to serve the community. Since the addition of programming involving social support and community building, retention of women students in the Engineering Technology programs has improved by an average of 6% per year. In addition to improved retention, the number of students receiving a D, F or Withdrawing from the core first- and second-year courses in these programs has dropped by over 75%. © American Society for Engineering Education, 2009.

关键词： Students

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When data disappear: public health pays as US policy strays

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The Lancet Digital Health 2025年 100874页

作者： Thomas McAndrew Andrew A Lover Garrik Hoyt Maimuna S Majumder Department of Biostatistics and Health Data Science College of Health Lehigh University Bethlehem PA USA Department of Biostatistics and Epidemiology School of Public Health and Health Sciences University of Massachusetts Amherst Amherst MA USA Department of Computer Science and Engineering PC Rossin College of Engineering and Applied Sciences Lehigh University Bethlehem PA USA Department of Pediatrics Harvard Medical School Boston MA USA Computational Health Informatics Program Boston Children’s Hospital Boston MA USA

Presidential actions on Jan 20, 2025, by President Donald Trump, including executive orders, have delayed access to or led to the removal of crucial public health data sources in the USA. The continuous collection and maintenance of health data support public health, safety, and security associated with diseases such as seasonal influenza. To show how public health data surveillance enhances public health practice, we analysed data from seven US Government-maintained sources associated with seasonal influenza. We fit two models that forecast the number of national incident influenza hospitalisations in the USA: (1) a data-rich model incorporating data from all seven Government data sources; and (2) a data-poor model built using a single Government hospitalisation data source, representing the minimal required information to produce a forecast of influenza hospitalisations. The data-rich model generated reliable forecasts useful for public health decision making, whereas the predictions using the data-poor model were highly uncertain, rendering them impractical. Thus, health data can serve as a transparent and standardised foundation to improve domestic and global health. Therefore, a plan should be developed to safeguard public health data as a public good.

关键词： Health insurance

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Improving Business by Migrating Applications to the Cloud Using Cloudstep

Improving Business by Migrating Applications to the Cloud Us...

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International Conference on Advanced Information Networking and Applications Workshops (AINAW)

作者： Paulo R.M. Andrade Renanh G. Araújo Jose Cronemberger Filho Tiago R. Pereira Adriano B. Albuquerque Nabor C. Mendonca Postgraduate Program in Applied Computer Science (PPGIA) University of Fortaleza (UNIFOR) Fortaleza CE Brazil

The Cloud Computing means change, a task that is not always easy from the point of view of businesses, even when this has numerous benefits (high scalability, cost reduction, on demand service, and other). However, companies can benefit with the migration of their applications to the cloud. With this, companies may have reduced costs, greater reliability in its business processes, helping in his growth. In our current reality, small and medium enterprises still afraid to perform this process. They fear the unknown. The focus of this work is to show that even small and medium-sized companies may have competitive advantages to migrate their applications to the cloud.

关键词： Conferences

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Geometry based data generation 32

Geometry based data generation

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32nd Conference on Neural Information Processing Systems, NeurIPS 2018

作者： Lindenbaum, Ofir Wolf, Guy Stanley, Jay S. Krishnaswamy, Smita Applied Mathematics Program Yale University New HavenCT06511 United States Computational Biology and Bioinformatics Program Yale University New HavenCT06510 United States Departments of Genetics and Computer Science Yale University New HavenCT06510 United States

We propose a new type of generative model for high-dimensional data that learns a manifold geometry of the data, rather than density, and can generate points evenly along this manifold. This is in contrast to existing generative models that represent data density, and are strongly affected by noise and other artifacts of data collection. We demonstrate how this approach corrects sampling biases and artifacts, thus improves several downstream data analysis tasks, such as clustering and classification. Finally, we demonstrate that this approach is especially useful in biology where, despite the advent of single-cell technologies, rare subpopulations and gene-interaction relationships are affected by biased sampling. We show that SUGAR can generate hypothetical populations, and it is able to reveal intrinsic patterns and mutual-information relationships between genes on a single-cell RNA sequencing dataset of hematopoiesis. © 2018 Curran Associates Inc..All rights reserved.

关键词： Genes

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Noisy Hegselmann-Krause systems: Phase transition and the 2R-conjecture 55

Noisy Hegselmann-Krause systems: Phase transition and the 2R...

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55th IEEE Conference on Decision and Control, CDC 2016

作者： Wang, Chu Li, Qianxiao Weinan, E. Chazelle, Bernard Program in Applied and Computational Mathematics Princeton University PrincetonNJ08540 United States Nokia Bell Labs 600 Mountain Avenue Murray HillNJ07974 United States Department of Mathematics Program in Applied and Computational Mathematics Princeton University NJ08540 United States Department of Computer Science Princeton University PrincetonNJ08540 United States

ISBN: (纸本)9781509018376

The classic Hegselmann-Krause (HK) model for opinion dynamics consists of a set of agents on the real line, each one instructed to move, at every time step, to the mass center of the agents within a fixed distance R. In this work, we investigate the effects of noise in the continuous-time version of the model as described by its mean-field Fokker-Planck equation. In the presence of a finite number of agents, the system exhibits a phase transition from order to disorder as the noise increases. We introduce an order parameter to track the phase transition and resolve the corresponding phase diagram. The system undergoes a phase transition for small R but none for larger R. Based on the stability analysis of the mean-field equation, we derive the existence of a forbidden zone for the disordered phase to emerge. We also provide a theoretical explanation for the well-known 2R conjecture, which states that, for a random initial distribution in a fixed interval, the final configuration consists of clusters separated by a distance of roughly 2R. Our theoretical analysis confirms previous simulations and predicts properties of the noisy HK model in higher dimension. © 2016 IEEE.

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Manifold learning-based methods for analyzing single-cell RNA-sequencing data

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Current Opinion in Systems Biology 2018年 7卷 36-46页

作者： Moon, Kevin R. Stanley, Jay S. Burkhardt, Daniel van Dijk, David Wolf, Guy Krishnaswamy, Smita Department of Genetics Yale University New Haven CT United States Applied Mathematics Program Yale University New Haven CT United States Computational Biology and Bioinformatics Program Yale University New Haven CT United States Department of Computer Science Yale University New Haven CT United States

Recent advances in single-cell RNA sequencing technologies enable deep insights into cellular development, gene regulation, and phenotypic diversity by measuring gene expression for thousands of cells in a single experiment. While these technologies hold great potential for improving our understanding of cellular states and progression, they also pose new challenges and require advanced mathematical and algorithmic tools to extract underlying biological signals. In this review, we cover one of the most promising avenues of research into unlocking the potential of scRNA-seq data: the field of manifold learning, and the related manifold assumption in data analysis. Manifold learning provides a powerful structure for algorithmic approaches to process the data, extract its dynamics, and infer patterns in it. In particular, we cover manifold learning-based methods for denoising the data, revealing gene interactions, extracting pseudotime progressions with model fitting, visualizing the cellular state space via dimensionality reduction, and clustering the data. © 2017 Published by Elsevier Ltd.

关键词： Data mining Gene regulatory networks Imputation Manifold learning Pseudotime trends Single cell RNA sequencing

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Doctrine based multi-resolution HLA distributed simulation 17

Doctrine based multi-resolution HLA distributed simulation

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32nd Annual ACM Symposium on applied Computing, SAC 2017

作者： Paul, Ricardo L. Nunes, Raul C. Oliveira, Vanderlan D. Kunde, Diogo Computer Science Graduate Program Fed. Univ. of Santa Maria Santa Maria RS Brazil Applied Computing Dpt. Fed. Univ. of Santa Maria Santa Maria RS Brazil

ISBN: (纸本)9781450344869

In distributed simulation, the purpose of multi-resolution methods is to allow simulation integration getting consis- tent views of different resolutions. In these methods, chal- lenges in the treatment of aggregation and disaggregation can be found, such as synchronization of events and objects, and data reliability when occurs a change of resolu- tion. Doctrines are the basis for operations involving different resources (human and material) with different roles to succeed in operation, and multi-resolution in distributed simulation can take advantage of this factor to ensure the reliability of aggregation and disaggregation processes. The aim of this paper is to propose a new strategy for treatment of multi-resolution, which builds converting rules from doctrine dynamic rules. The multi-resolution converter uses dynamic rules to describe aspects of the doctrine in the ag- gregation and disaggregation processes, increasing the reliability of multi-resolution distributed simulations. This strat- egy was implemented on a High Level Architecture (HLA) federation with virtual and constructive Commercial Off- The-Shelf (COTS) simulators. The experiments showed the exibility of this strategy on managing different doctrines. © 2017 ACM.

关键词： Reliability

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Applying multi-criteria decision analysis to global software development with scrum project planning

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6th International Conference on Rough Sets and Knowledge Technology, RSKT 2011

作者： Almeida, Luis Henrique Pinheiro, Plácido Rogério Albuquerque, Adriano Bessa CPQi IT Offshore Solutions Av. Washington Soares 909 60.811-341 Fortaleza Brazil University of Fortaleza Graduate Program in Applied Computer Science Av. Washington Soares 1321 60811-905 Fortaleza Brazil

ISBN: (纸本)9783642244247

Distributed Software Development (DSD) projects have become a common reality for many organizations. Scrum is a consolidated Agile methodology and has been increasingly used in a distributed fashion. As distance makes difficult to interact and to cooperate effectively, it is paramount to use methodologies like Scrum that emphasizes communication, reduces coordination and control overhead. Successfully planning and managing the combined use of DSD and Scrum is a complex task and requires carefully planning. Despite the importance and complexity of this type of problem, there seems to be a lack of reports, in the literature, of models that could support managers dealing with such decision context. This paper applies a multi-criteria decision model on the choice of DSD Scrum project plans that have a better chance of success. The model, presented in [1], was developed using cognitive mapping and MACBETH[2]. The application of the model is demonstrated, followed by conclusion and future work. © 2011 Springer-Verlag.

关键词： Project management

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A Multi-criteria Decision Model for Planning Inter-organizational Global Agile Software Development Projects

A Multi-criteria Decision Model for Planning Inter-organizat...

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作者： Almeida, Luis Henrique Albuquerque, Adriano Pinheiro, Plácido Rogério CPQi IT Offshore Solutions R. Chico Lemos 946 60822-780 Fortaleza Brazil Graduate Program in Applied Computer Science University of Fortaleza Av. Washington Soares 1321 60811-905 Fortaleza Brazil

ISBN: (纸本)9783642358784

Inter-organizational Global Software Development (GSD) has become a common reality for many projects. It is well established that distance makes difficult to interact and to cooperate effectively. Scrum, a consolidated Agile methodology, emphasizes communication, reduces coordination and control overhead and has been increasingly used in a distributed fashion. Successfully planning and managing the combined use of GSD and Scrum is a complex task and requires carefully planning. Despite the importance and complexity of this type of problem, there seems to be a lack of reports, in the literature, of models that could support managers dealing with these decision contexts. This paper presents a multi-criteria decision model for planning and fine-tuning such project plans. This model was developed using cognitive mapping and MACBETH [1]. The application of the model is demonstrated, followed by conclusion and future work. © Springer-Verlag Berlin Heidelberg 2013.

关键词： Project management

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