Filetype
Following the quantitative turn in linguistics, the field appears to be in amethodological “wild west” state where much is possible and new frontiers arebeing explored, but there is relatively little guidance in terms of firm rules orconventions. In this article, we focus on the issue of variable selection in regression modeling. It is common to aim for a “minimal adequate model” and eliminate “no
Planning of neighborhoods that efficiently implement active solar systems (e.g., solar thermal technologies, photovoltaics) and passive solar strategies (e.g., daylight control, sunlight access through optimized buildings' morphology, cool pavements, greeneries) is increasingly important to achieve positive energy and carbon neutrality targets, as well as to create livable urban spaces. In that re
The global burden of neurological disorders is substantial and increasing, especially in low-resource settings. The current increased global interest in brain health and its impact on population wellbeing and economic growth, highlighted in the World Health Organization’s new Intersectoral Global Action Plan on Epilepsy and other Neurological Disorders 2022–2031, presents an opportunity to rethink
Stochastic optimization methods are commonly used in the design process of power electronic systems. These require models of crucial parts of the system which are both scalable and computationally efficient. This paper presents thermal models for traction inverter power modules based on scalable chip area that provide high speed of execution and accuracy. The thermal model includes chip-chip inter
Frequency diverse array (FDA) radars provide a potential solution to target localisation along the slant range and azimuth angle due to the range-angle-dependent transmit beampattern caused by the used frequency increments. However, the S -shaped beampattern resulting from the standard FDA leads to multiple candidate location estimates, introducing ambiguity in the target localization. To make ful
This paper explores the potential of blockchain technology (BCT) in promoting sustainable food production and consumption (SFPC) from a consumer perspective. India, a significant global food producer, faces challenges related to affordability and food logistics due to transport and labour constraints. Food safety concerns, i.e., foodborne illnesses and quality issues, alongside unexpected events l
This paper considers how the challenges underpinning sustainable development are likely to impact on duty-and tax-free retailing in airports and, by implication, in the entire aviation industry. The paper defines the role of retail as a vital source of airport revenues, before considering the carbon consequences of the sector’s incumbent business models. It finds that products taken onto aircraft
Cardiac magnetic resonance (CMR) is the gold standard noninvasive imaging modality to assess tissue characteristics in vivo which gives it a unique advantage in discriminating benign cardiac masses from malignant tumors. CMR also provides visualization of tumor invasion, hemodynamic effects, and location relative to surrounding cardiac and extracardiac structures. These features make CMR an essent
Glycogen is a hyperbranched glucose polymer, serving as a major energy reservoir in animals. Characterization of the size distributions of complex branched polysaccharides helps in the understanding of their structural and functional properties. This study compared the effectiveness of various techniques in analyzing glycogen size distributions, namely size-separation-based techniques (size exclus
We prove linear convergence for a new family of modified Dirichlet–Neumann methods applied to quasilinear parabolic equations, as well as the convergence of the Robin–Robin method. Such nonoverlapping domain decomposition methods are commonly employed for the parallelization of partial differential equation solvers. Convergence has been extensively studied for elliptic equations, but in the case o
Future Internet-of-Things (IoT) systems need to combine heterogeneous IoT components and support weak connectivity. This paper introduces ComPOS, a domain-specific language for composing IoT services into systems. ComPOS is a small language but supports powerful message mediation, using stateful reactions with nested and parallel message sequences and anonymous futures. To deal with weak connectiv
We consider the problem of identifying significant predictors in large data bases, where the response variable depends on the linear combination of explanatory variables through an unknown monotonic link function, corrupted with the noise from the unknown distribution. We utilize the natural, robust and efficient approach, which relies on replacing values of the response variables by their ranks a
The rapid development of containerization technology comes with remarkable benefits for developers and operation teams. Container solutions allow building very flexible software infrastructures. Although lots of efforts have been devoted to enhancing containerization security, containerized environments still have a huge attack surface. Completely avoiding severe security issues have so far not be
Body size variation is an enigma. We do not understand why species achieve the sizes they do, and this means we also do not understand the circumstances under which gigantism or dwarfism is selected. We develop size-structured integral projection models to explore evolution of body size and life history speed. We make few assumptions and keep models simple: all functions remain constant across mod
Most work implies the use of digital systems and tools, thus, digital technology plays a vital role in modern work environments. Even so, ergonomics and usability of IT systems and digital tools used at work are often weak, which causes work-related health problems including physical, visual, cognitive, and stress-related issues. We pose that one important reason for these types of issues is the l
