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Penguin guano is an important source of climate-relevant aerosol particles in Antarctica

Gaseous ammonia, while influential in atmospheric processes, is critically underrepresented in atmospheric measurements. This limits our understanding of key climate-relevant processes, such as new particle formation, particularly in remote regions. Here, we present highly sensitive, online observations of gaseous ammonia from a coastal site in Antarctica, which allows us to constrain the mechanis

Development of a new spatially complete and daily continuous lake surface water temperature dataset for Lake Vänern by fusing satellite and reanalysis products

Study region: Lake Vänern, the largest lake in the European Union, located in Sweden. Study focus: The study aimed to develop a spatially complete and temporally continuous lake surface water temperature (LSWT) dataset by fusing satellite remote sensing data with reanalysis products. Five satellite-derived LSWT products, including the Moderate Resolution Imaging Spectroradiometer (MODIS), were eva

Analysis of partially reflective surface antenna with different reflection magnitudes using ray-tracing

It has been shown that a partially reflective surface (PRS) antenna with a larger reflection magnitude has a higher antenna gain, based on practical design examples. In this paper, PRS antennas with different reflection magnitudes are analyzed using an intuitive ray-tracing model. It is derived that the larger reflection magnitude enables a smaller phase delay and a more uniform magnitude distribu

Cloaking Synthesis Based on Exact Re-analysis

A novel synthesizing procedure is introduced and employed to extract locally-optimal cloaking devices. Their performance is compared with fundamental bounds found using a convex optimization approach. The optimization method is based on a method-of-moments paradigm utilizing rank-1 updates of the structure iteratively performed based on a greedy algorithm. This approach produces locally optimal sh

Transition Matrix in Characteristic Modes Theory

This abstract presents the versatility and computational effectiveness of characteristic mode decomposition based on the transition matrix. The described treatment is valid for all lossless and linear material distributions and is independent of the numerical method used to resolve a particular scattering scenario.

Time dependence of heterogeneous ice nucleation by ambient aerosols : laboratory observations and a formulation for models

The time dependence of ice-nucleating particle (INP) activity is known to exist, yet for simplicity it is often omitted in atmospheric models as an approximation. Hitherto, only limited experimental work has been done to quantify this time dependency, for which published data are especially scarce regarding ambient aerosol samples and longer timescales. In this study, the time dependence of INP ac

Visual Cues in Compiler Conversations

When people are conversing, a key non-verbal aspect of communication is the direction in which the participants are looking, as this may convey where each person’s attention is focused. In a programming context, for instance an integrated development environment (IDE), the interaction design frequentlydirects the programmer’s gaze towards specific locations on-screen. For example, syntax highlight

Looking Back, Moving Forward : A Handover

A coworker teased me a few months ago, describing requirements engineering (RE) as "plumbing,"something he absolutely considered functional, even necessary, but otherwise best not discussed in polite conversation. I responded with a graphically descriptive suggestion of what one might experience with a plumbing failure. I then drew parallels to a situation where a team's excellent execution of the

A Low Complexity Sequential Resource Allocation for Panel-Based LIS Surfaces

Large intelligent surfaces (LISs) is an evolution of massive MIMO systems allowing for huge capacity gains. To reduce implementation complexity, it is convenient to implement the LIS using panels that are either activated or deactivated, and associated to terminals according to their propagation characteristics to the panels. The associated spatial resource allocation to maximise the terminals', a

Code Red : The Business Impact of Code Quality - A Quantitative Study of 39 Proprietary Production Codebases

Code quality remains an abstract concept that fails to get traction at the business level. Consequently, software companies keep trading code quality for time-to-market and new features. The resulting technical debt is estimated to waste up to 42% of developers' time. At the same time, there is a global shortage of software developers, meaning that developer productivity is key to software busines

Certified CNF Translations for Pseudo-Boolean Solving

The dramatic improvements in Boolean satisfiability (SAT) solving since the turn of the millennium have made it possible to leverage state-of-the-art conflict-driven clause learning (CDCL) solvers for many combinatorial problems in academia and industry, and the use of proof logging has played a crucial role in increasing the confidence that the results these solvers produce are correct. However,

Urban Navigation with LTE using a Large Antenna Array and Machine Learning

Channel fingerprinting entails associating a point in space with measured properties of a received wireless signal. If the propagation environment for that point in space remains reasonably static with time, then a receiver with no knowledge of its own position experiencing a similar channel in the future might reasonably infer proximity to the original surveyed point. In this article, measurement

A/B Testing in the Small

Previous research on A/B testing and continuous experimentation has mostly focused on large-scale settings with company-external customers. However, work efficiency and satisfaction for company coworkers may be highly related to internal tools and their fit-for-use. In this study, we therefore explore A/B testing for online services exclusively used by company co-workers. We A/B tested two version

Near Failure Analysis Using Dynamic Behavioural Data

Automated testing is a safeguard against software regression and provides huge benefits. However, it is yet a challenging subject. Among others, there is a risk that the test cases are too specific, thus making them inefficient. There are many forms of undesirable behaviour that are compatible with a typical program’s specification, that however, harm users. An efficient test should provide most p