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Articles 10051 - 10080 of 302422
Full-Text Articles in Physical Sciences and Mathematics
Environment And Sustainability: October 2023, Environment And Sustainability, Office Of The President
Environment And Sustainability: October 2023, Environment And Sustainability, Office Of The President
Environment and Sustainability
• Replacing diesel with biomass for boiler at AKUH Nairobi,
• Monthly Movie Hour starting from October
• Paper savings from ICT optimisations
• All-vegetarian catering menu
• Zero-waste beach cleanup drive
• Sustainable Events Training
• Launch of 2023 President’s Challenge for Climate Solutions
• And much more…
Considering Equity In Infrastructure Planning Processes And Outcomes For Coastal Resilience, Wie Yusuf, Marina Saitgalina, Tom Allen, Nicole S. Hutton, Jennifer L. Whytlaw, Joshua Behr
Considering Equity In Infrastructure Planning Processes And Outcomes For Coastal Resilience, Wie Yusuf, Marina Saitgalina, Tom Allen, Nicole S. Hutton, Jennifer L. Whytlaw, Joshua Behr
School of Public Service Faculty Publications
No abstract provided.
Math 115: College Algebra For Pre-Calculus, Seth Lehman
Math 115: College Algebra For Pre-Calculus, Seth Lehman
Open Educational Resources
OER course syllabus for Math 115, College Algebra, at Queens College
Just-In-Accuracy: Mobile Approach To Uncertainty, Martine Ceberio, Christoph Q. Lauter, Vladik Kreinovich
Just-In-Accuracy: Mobile Approach To Uncertainty, Martine Ceberio, Christoph Q. Lauter, Vladik Kreinovich
Departmental Technical Reports (CS)
To make a mobile device last longer, we need to limit computations to a bare minimum. One way to do that, in complex control and decision making problems, is to limit precision with which we do computations, i.e., limit the number of bits in the numbers' representation. A problem is that often, we do not know with what precision should we do computations to get the desired accuracy of the result. What we propose is to first do computations with very low precision, then, based on these computations, estimate what precision is needed to achieve the given accuracy, and then …
Cybersecurity Policy Rubric And Analysis For The State Of Maine Electrical Transmission Grid, Benjamin Plummer M.S.
Cybersecurity Policy Rubric And Analysis For The State Of Maine Electrical Transmission Grid, Benjamin Plummer M.S.
All Student Scholarship
The State of Maine’s (SOM) electrical grid is aging. While there are public and private efforts to bring it up to date, gaps in cybersecurity policies and laws exist (NERC, n.d.; see also MPUC, n.d.; CISA, n.d.). This policy and law research may also apply to other states and the protection of their critical infrastructure. The researcher examined the grid’s controls, policies, and laws to determine the influence each exerts over the grid and where that influence presents vulnerabilities in security. The research focused on the controls, policies, and laws that play a role in protecting the grid. The researcher …
Decentralized Multimedia Data Sharing In Iov: A Learning-Based Equilibrium Of Supply And Demand, Jiani Fan, Minrui Xu, Jiale Guo, Lwin Khin Shar, Jiawen Kang, Dusit Niyato, Kwok-Yan Lam
Decentralized Multimedia Data Sharing In Iov: A Learning-Based Equilibrium Of Supply And Demand, Jiani Fan, Minrui Xu, Jiale Guo, Lwin Khin Shar, Jiawen Kang, Dusit Niyato, Kwok-Yan Lam
Research Collection School Of Computing and Information Systems
The Internet of Vehicles (IoV) has great potential to transform transportation systems by enhancing road safety, reducing traffic congestion, and improving user experience through onboard infotainment applications. Decentralized data sharing can improve security, privacy, reliability, and facilitate infotainment data sharing in IoVs. However, decentralized data sharing may not achieve the expected efficiency if there are IoV users who only want to consume the shared data but are not willing to contribute their own data to the community, resulting in incomplete information observed by other vehicles and infrastructure, which can introduce additional transmission latency. Therefore, in this paper, by modeling the …
Anomaly Detection Under Distribution Shift, Tri Cao, Jiawen Zhu, Guansong Pang
Anomaly Detection Under Distribution Shift, Tri Cao, Jiawen Zhu, Guansong Pang
Research Collection School Of Computing and Information Systems
Anomaly detection (AD) is a crucial machine learning task that aims to learn patterns from a set of normal training samples to identify abnormal samples in test data. Most existing AD studies assume that the training and test data are drawn from the same data distribution, but the test data can have large distribution shifts arising in many real-world applications due to different natural variations such as new lighting conditions, object poses, or background appearances, rendering existing AD methods ineffective in such cases. In this paper, we consider the problem of anomaly detection under distribution shift and establish performance benchmarks …
Interferometry Of Efimov States In Thermal Gases By Modulated Magnetic Fields, G. Bougas, Simeon I. Mistakidis, P. Schmelcher, C. H. Greene, P. Giannakeas
Interferometry Of Efimov States In Thermal Gases By Modulated Magnetic Fields, G. Bougas, Simeon I. Mistakidis, P. Schmelcher, C. H. Greene, P. Giannakeas
Physics Faculty Research & Creative Works
We Demonstrate That An Interferometer Based On Modulated Magnetic Field Pulses Enables Precise Characterization Of The Energies And Lifetimes Of Efimov Trimers Irrespective Of The Magnitude And Sign Of The Interactions In Rb85 Thermal Gases. Despite Thermal Effects, Interference Fringes Develop When The Dark Time Between The Pulses Is Varied. This Enables The Selective Excitation Of Coherent Superpositions Of Trimer, Dimer, And Free-Atom States. The Interference Patterns Possess Two Distinct Damping Timescales At Short And Long Dark Times That Are Either Equal To Or Twice As Long As The Lifetime Of Efimov Trimers, Respectively. Specifically, This Behavior At Long Dark …
Carbon Storage Monitoring, Verification, And Accounting (Mva), University Of North Dakota. Energy And Environmental Research Center
Carbon Storage Monitoring, Verification, And Accounting (Mva), University Of North Dakota. Energy And Environmental Research Center
EERC Brochures and Fact Sheets
Fact sheet about carbon storage monitoring, verification, and accounting (MVA). Includes background on MVA, the Energy & Environmental Research Center (EERC), and Plains CO2 Reduction (PCOR) Partnership plans for MVA strategy development.
Core-Cm Williston Basin Carbon Ore, Rare Earth, And Critical Minerals, University Of North Dakota. Energy And Environmental Research Center
Core-Cm Williston Basin Carbon Ore, Rare Earth, And Critical Minerals, University Of North Dakota. Energy And Environmental Research Center
EERC Brochures and Fact Sheets
Fact sheet on the Carbon Ore, Rare Earth and Critical Minerals (CORE-CM) Initiative, an Energy & Environmental Research Center (EERC) and U.S. Department of Energy (DOE) project. Includes information on the importance of critical minerals and utilizing lignite from the Williston Basin.
More Than Energy: Coal As A Mineral Resource, University Of North Dakota. Energy And Environmental Research Center
More Than Energy: Coal As A Mineral Resource, University Of North Dakota. Energy And Environmental Research Center
EERC Brochures and Fact Sheets
Brochure on Carbon Ore, Rare Earth, and Critical Minerals (CORE-CM) Initiative, an Energy & Environmental Research Center (EERC) and U.S. Department of Energy (DOE) project. Explores the benefits of utilizing lignite coal from the Williston Basin.
Docker Technology For Small Scenario-Based Excercises In Cybersecurity, Zeinab Ahmed
Docker Technology For Small Scenario-Based Excercises In Cybersecurity, Zeinab Ahmed
Theses and Dissertations
This study aims to better prepare students for cybersecurity roles by providing practical tools that bridge the gap between theory and real-world applications. We investigate the role of small scenario-based exercises for students’ understanding of cybersecurity concepts. In particular, we assess the use of Docker technology to deliver training that includes a simple small scenario on html code injection. The effectiveness of scenario-based learning has long been defined and by using SBL, we are going to create hands-on activity that involves the fundamental topics in cybersecurity using Docker technology, allowing students to see the exploitation of the vulnerabilities and defense …