5026 research outputs found
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12 Holi-Days of Season: Service Seven Days a Week
No full textThis is the seventh video of the 12 Holi-Days of Season celebration. During this time, Columbus State University Libraries shared twelve free resources. Library service that is offered seven days a week was highlighted on the seventh day of the celebration.https://csuepress.columbusstate.edu/marketing/1051/thumbnail.jp
12 Holi-Days of Season: Eight Research Librarians
No full textThis is the eighth video of the 12 Holi-Days of Season celebration. During this time, Columbus State University Libraries shared twelve free resources. The eight Research Librarians working in Columbus State University Libraries were highlighted on the eighth day of the celebration.https://csuepress.columbusstate.edu/marketing/1052/thumbnail.jp
ThermoBench: A thermal efficiency benchmark for clusters in data centers
No full text© 2020 Elsevier B.V. The energy efficiency of a data center depends on the cooling cost of clusters in the data center. Enhancing thermal efficiency of clusters is a practical approach to reducing energy consumption cost, optimizing scalability, and improving reliability. In this paper, we propose ThermoBench to evaluate the thermal efficiency of computing and storage clusters deployed in data centers. We shed light on the criteria, metrics and challenges of developing a thermal efficiency benchmark. We pay particular attention to clusters running scalable client-server enterprise applications in data centers. Because these applications are quite popular in modern data centers, thermal efficiency benchmarks for clusters providing services to these applications become critical. We characterize workload conditions in such a cluster computing environment in forms of client sessions of multiple transactional requests. To resemble real-world applications, ThermoBench makes use of the TPC-W benchmark to change transactional requests mix and load over time. We apply ThermoBench to evaluate the thermal efficiency of a real-world cluster. Experimental results show that ThermalBench provides a simple yet powerful benchmark solution for assessing thermal behaviours of computing clusters in data centers as well as offers thermal-aware scheduling strategies during the course of requests dispatching
Periodic Phenomena and Driving Mechanisms in Transmission of West Nile Virus with Maturation Time
No full text© 2019, Springer Science+Business Media, LLC, part of Springer Nature. West Nile virus (WNv) transmission shows both seasonal pattern in every single year and cyclic pattern over years. In this paper we formulate a compartmental model with bird demographics and maturation time of mosquitoes during metamorphosis to study the impact of ambient temperature on the transmission and recurrence of disease. We show that avian birds serve as a reservoir of viruses, whilst maturation time affects disease transmission in sophisticated ways. It turns out that large maturation delay will lead to the extinction of mosquitoes and the disease; small maturation delay will stabilize the epidemic level of the disease; and intermediate maturation delay will cause sustainable oscillations of mosquito population, recurrence of diseases, and even mixed-mode oscillation of diseases with an alternation between oscillations of distinct large and small amplitudes. With bifurcation theory, we prove that temperature can drive the oscillation of mosquito population, which leads recurrence of WNv through the incidence interaction between mosquitoes and hosts, while the biting and transmission process itself will not generate sustained oscillations. Our results provide a sound explanation for understanding interactions between vectors and hosts, and driving mechanisms of periodic phenomena in the transmission of WNv and other mosquito-borne diseases
Translations in Stimulus–Stimulus Pairing: Autoshaping of Learner Vocalizations
No full text© 2019, Association for Behavior Analysis International. Stimulus–stimulus pairing (SSP) is a procedure used by behavior analysis practitioners that capitalizes on respondent conditioning processes to elicit vocalizations. These procedures usually are implemented only after other, more customary methods (e.g., standard echoic training via modeling) have been exhausted. Unfortunately, SSP itself has mixed research support, probably because certain as-yet-unidentified procedural variations are more effective than others. Even when SSP produces (or increases) vocalizations, its effects can be short-lived. Although specific features of SSP differ across published accounts, fundamental characteristics include presentation of a vocal stimulus proximal with presentation of a preferred item. In the present article, we draw parallels between SSP procedures and autoshaping, review factors shown to affect autoshaping, and interpret autoshaping research for suggested SSP tests and applications. We then call for extended use and reporting of SSP in behavior-analytic treatments. Finally, three bridges created by this article are identified: basic-applied, respondent–operant, and behavior analysis with other sciences
Quantum cryptography and simulation: Tools and techniques techniques
No full text© 2020 ACM. All rights reserved. The advancement of quantum mechanics has accelerated the quantum computer architecture and hardware. However, algorithms and implementations to take the full advantage of entanglements provided by quantum devices are still far behind. Quantum cryptography offers the possibility of theoretically perfect security based on the principles of quantum mechanics, ensuring that the presence of an eavesdropper will be detected before any sensitive information is transmitted. However, the relevant technology is still under development - hardware, though commercially available, is still in an immature state, and the protocols used to implement secure communications using that hardware may still be improved. The use of simulations is an important tool for studying quantum cryptography, as they can enable researchers to make valuable insights at a relatively low cost. The data garnered from working with simulations can provide direction for further research both in the development of new communications protocols and in the improvement of actual hardware systems
Educational modules and research surveys on critical cybersecurity topics
No full text© The Author(s) 2020. Cybersecurity comprised all the technologies and practices that protect data as well as computer and network systems. In this article, we develop four course modules on critical cybersecurity topics that can be adopted in college-level cybersecurity courses in which these topics are covered. Our goal for developing these course modules with the hands-on labs is to increase students’ understanding and hands-on experiences on these critical topics that support cyber skills development for college students. The hands-on labs are designed to enhance students’ engagement and provide them hands-on experiences with real-world cyber activities to augment their cyber education of both foundational and advanced skills. We also conduct research surveys on the most-recent significant research in these critical cybersecurity fields. These cybersecurity course modules with the labs are also designed to help college/university professors enhance and update their cybersecurity course content, activities, hands-on lab exercises, and pedagogical methods, as well as emphasize the cyber skills to meet today’s pressing cybersecurity education needs for college students. Our proposed cybersecurity modules with hands-on labs will also help building the nation’s cybersecurity workforce
2,100 years of human adaptation to climate change in the High Andes
No full text© 2019, The Author(s), under exclusive licence to Springer Nature Limited. Humid montane forests are challenging environments for human habitation. We used high-resolution fossil pollen, charcoal, diatom and sediment chemistry data from the iconic archaeological setting of Laguna de los Condores, Peru to reconstruct changing land uses and climates in a forested Andean valley. Forest clearance and maize cultivation were initiated during periods of drought, with periods of forest recovery occurring during wetter conditions. Between ad 800 and 1000 forest regrowth was evident, but this trend was reversed between ad 1000 and 1200 as drier conditions coincided with renewed land clearance, the establishment of a permanent village and the use of cliffs overlooking the lake as a burial site. By ad 1230 forests had regrown in the valley and maize cultivation was greatly reduced. An elevational transect investigating regional patterns showed a parallel, but earlier, history of reduced maize cultivation and forest regeneration at mid-elevation. However, a lowland site showed continuous maize agriculture until European conquest but very little subsequent change in forest cover. Divergent, climate-sensitive landscape histories do not support categorical assessments that forest regrowth and peak carbon sequestration coincided with European arrival
Secure Edge-Aided Computations for Social Internet-of-Things Systems
No full textIEEE Devices in the Internet-of-Things (IoT) are networked and perform massive computations to support various social IoT systems. Applications in social IoT systems often involve complicated computations that are out of the computation capacity of some resource-constrained IoT devices. Thus, how to enable resource-constrained IoT devices to accomplish complex computations efficiently and securely is of significant importance. To address this problem, we develop a secure edge-aided computation scheme for the social IoT systems. We scope the framework of edge-aided computations and identify the security threats in such a system. We define the security requirements that the outsourcing algorithms should meet. Then, we provide two examples of secure outsourcing algorithms (matrix multiplication and modular exponentiation) that meet the given security requirements. The efficiency and security of the proposed algorithms are supported through the theoretical analysis and experimental results
Community geography: Toward a disciplinary framework
No full text© The Author(s) 2020. Community geography is a growing subfield that provides a framework for relevant and engaged scholarship. In this paper, we define community geography as a form of research praxis, one that involves academic and public scholars with the goal of co-produced and mutually-beneficial knowledge. Community geography draws from a pragmatist model of inquiry, one that views communities as emergent through a recursive process of problem definition and social action. We situate the growth of community geography programs as rooted in two overlapping but distinct traditions: disciplinary development of participatory methodologies and institutional traditions of community engagement in American higher education. We then trace the historical development of these programs, identifying common themes and outlining several challenges that community geographers should prioritize as this subfield continues to grow