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LTA summary and event surveys : Materials from “The Lang-Track-App: Open-source tools for implementing the Experience Sampling Method in second language acquisition research”
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
Guest editorial - artificial intelligence in radio propagation for communications
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
Teachers’ language learning activities and interactions in the classroom – can CPDs change the picture?
Analysis of Computational Efficiency in Iterative Order Batching Optimization
Order Picking in warehouses is often optimized with a method known as Order Batching, which means thatone vehicle can be assigned to pick a batch of several orders at a time. Although there exists a rich body ofresearch on Order Batching Problem (OBP) optimization, one area which demands more attention is that ofcomputational efficiency, especially for optimization scenarios where warehouses have
New benchmarks and optimization model for the Storage Location Assignment Problem
The Storage Location Assignment Problem (SLAP) is of primary significance to warehouse operations sincethe cost of order-picking is strongly related to where and how far vehicles have to travel. Unfortunately, ageneralized model of the SLAP, including various warehouse layouts, order-picking methodologies andconstraints, poses a highly intractable problem. Proposed optimization methods for the SLA
A 3D-CFD Methodology for Combustion Modeling in Active Prechamber SI Engines Operating with Natural Gas
Active prechamber combustion systems for SI engines represent a feasible and effective solution in reducing fuel consumption and pollutant emissions for both marine and ground heavy-duty engines. However, reliable and low-cost numerical approaches need to be developed to support and speed-up their industrial design considering their geometry complexity and the involved multiple flow length scales.
A Scenario Distribution Model for Effective and Efficient Testing of Autonomous Driving Systems
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
Requirements for Organizational Resilience : Engineering Developer Happiness
Can the right requirements boost developer satisfaction and happiness? We believe they can. In keeping with this issue's theme, 'Well-Being for Resilience: Developers Thrive,' we discuss the connection between the three keywords, well-being, resilience, and thriving. How could requirements engineering foster these qualities? While there hasn't been much research on this topic, we see opportunities
Breaking down and making up - a lens for conversing with compilers
This paper proposes a ‘tool for thinking with’1: that we can describe the interaction between peopleand computers, and especially people and developer tools, as a form of conversation. We outline thisperspective, construct a work in progress analytical frame, and use it to talk about a couple of differentexamples and draw implications for future work.
User-Centric Study and Enhancement of Python Static Code Analysers
Despite the growing integration of code analysis tools into developer workflows, usability challengespersist in many aspects. Previous research, primarily focused on static languages and professional developers, has largely overlooked the needs of novice developers and non-static languages like Python.In this paper, we investigate the experiences of novice Python programmers with static code analy
Programming for Reliability and Safety in Robotics: The Role of Domain-Specific Languages : Domain Specific Programming for Safe and Reliable Robots
Autonomous robots must operate reliably and predictably in uncertain environ-ments. Throughout the robot software development cycle, robot operators and de-velopers must be able to specify their safety and functional requirements reliablyand explicitly. To this end, we propose to use Domain-Specific Languages (DSLs)to address their needs. To show the applicability and effectiveness of this approac
Exploring the influence of patient variability on propofol target-controlled infusion performance
Target-controlled infusion (TCI) constitutes a clinically available alternative to manually administering the infusion rate of the anesthetic drug propofol. In TCI, a drug infusion profile is optimized to track a reference trajectory of blood plasma or effect site (brain cortex) drug concentration, or a corresponding clinical effect. TCI is a pure feed-forward openloop strategy, fully reliant on a
