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Machine learning in cartography

Machine learning is increasingly used as a computing paradigm in cartographic research. In this extended editorial, we provide some background of the papers in the CaGIS special issue Machine Learning in Cartography with a special focus on pattern recognition in maps, cartographic generalization, style transfer, and map labeling. In addition, the paper includes a discussion about map encodings for

The Delphic Room : An Artistically Derived Metaphor

In his well-known thought experiment regarding artificial intelligence (AI), John Searle sketched out the philosophic idea of “The Chinese room” – a room in which comprehensible rules (a program) allow a person to perfectly correlate one set of unknown linguistic symbols (a question) with another (an answer) of the same unfamiliar kind. In our creation of an AI-based micro-opera for humans and mac

Mid-Infrared Generated Laser-Induced Grating Signals in Methane-Containing Gas Mixtures as Indicators of Composition, Pressure, and Temperature

The present work is aimed at studying how spatially periodic modulations of the refractive index of the medium, i.e., laser-induced gratings (LIGs), generated in a gas mixture containing methane (CH4) by nanosecond pulses of resonant mid-infrared laser radiation, can be used to measure various gas parameters. It is investigated to what extent the temporal profiles of the LIG signals, recorded as t

Click nanosponge - A novel amine-rich β-cyclodextrin-based crosslinked polymer for heterogeneous catalysis

Cyclodextrin-based nanosponges are promising materials for heterogeneous catalysis due to their inherent synthetic versatility, tunable porosity and nontoxicity. In this work, a primary amine-rich β-cyclodextrin nanosponge was synthesized via click imine condensation reaction between 1,6-hexamethylamine-functionalized β-cyclodextrin (CDAM) and glutaraldehyde (GLT) to afford CDGLAM, in mild conditi

Direct Visualization of Confinement and Many-Body Correlation Effects in 2D Spectroscopy of Quantum Dots

The size tunable color of colloidal semiconductor quantum dots (QDs) is probably the most elegant illustration of the quantum confinement effect. As explained by the simple “particle-in-a-box” model, the transition energies between the levels increase when the “box” becomes smaller. To investigate quantum confinement effects, typically a well-defined narrow size distribution of the nanoparticles i

A risk-based robustness evaluation of a prestressed concrete bridge

Existing bridges were designed to satisfy old specifications, and most of them were based on a member-oriented approach. A bridge superstructure is constituted by a group of elements that together form a system, and depending on how robust the system is, a member-oriented approach losses accuracy. Therefore, in this study a preliminary framework of how to assess concrete bridges' robustness is pre

Near-Unity Quantum Yield ZnSeTe Quantum Dots Enabled by Controlling Shell Growth for Efficient Deep-Blue Light-Emitting Diodes

Core–shell structural ZnSeTe/ZnSe/ZnS quantum dots (QDs) have attracted great attention for advanced illumination and displays because of their environmentally friendly composition, but still suffering from poor photoluminescence (PL) and electroluminescence (EL) performance due to severe non-radiative charge recombination. Herein, a stepwise injection shell growth process to manipulate the monome

Emergent temperature sensitivity of soil organic carbon driven by mineral associations

Soil organic matter decomposition and its interactions with climate depend on whether the organic matter is associated with soil minerals. However, data limitations have hindered global-scale analyses of mineral-associated and particulate soil organic carbon pools and their benchmarking in Earth system models used to estimate carbon cycle–climate feedbacks. Here we analyse observationally derived

Active and Passive Integrated Filters for Multi-GHz 6G Baseband Applications

This paper presents the design and comparison of an active Gm-C and a passive baseband filter for 6G applications. Both presented circuits are 5th-order differential low-pass filters with 3-dB cut-off frequencies of 4.9 and 4.7 GHz, respectively, implemented in a 22 nm FD-SOI CMOS technology. The active filter uses back-gate tuning to optimize the transfer function, and achieves a measured in-band

Toxicity of particles derived from combustion of Ethiopian traditional biomass fuels in human bronchial and macrophage-like cells

The combustion of traditional fuels in low-income countries, including those in sub-Saharan Africa, leads to extensive indoor particle exposure. Yet, the related health consequences in this context are understudied. This study aimed to evaluate the in vitro toxicity of combustion-derived particles relevant for Sub-Saharan household environments. Particles (< 2.5 µm) were collected using a high-vol

Safe Transportation of Children With Disabilities and Medical Conditions in Motor Vehicles : Experiences and Perspectives of Australian Health Professionals and Organisations

Providing safe and accessible transportation for children with disabilities and medical conditions can be challenging and complex, as they are particularly vulnerable during road vehicle transportation. Health professionals and organisations play a vital role in supporting families and other involved individuals to ensure their child is transported safely. To obtain a better understanding of the e

European stroke organisation (ESO) guideline on cerebral small vessel disease, part 2, lacunar ischaemic stroke

A quarter of ischaemic strokes are lacunar subtype, typically neurologically mild, usually resulting from intrinsic cerebral small vessel pathology, with risk factor profiles and outcome rates differing from other stroke subtypes. This European Stroke Organisation (ESO) guideline provides evidence-based recommendations to assist with clinical decisions about management of lacunar ischaemic stroke

Wet Twisting in Spinning for Rapid and Cost-Effective Fabrication of Superior Carbon Nanotube Yarns

Carbon nanotubes (CNTs) are promising blocks for building advanced yarns with unique structural and functional attributes. However, the complexity of fabrication and high cost has hindered the widespread adoption of CNT yarns. In this study, a rapid and continuous twisting wet spun yarn strategy to produce highly densified CNT yarns is presented. The method involves effectively dispersing CNTs in